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ChatGPT Is Cool. ChatBlackGPT Is Critical—Because We Deserve to Be Seen
Episode 256 • 1st July 2025 • TonyTidbit: A Black Executive Perspective • TonyTidbit ™
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Episode Audio Link: https://podcast.ablackexec.com/episode/ChatGPT Is Cool. ChatBlackGPT Is Critical—Because We Deserve to Be Seen

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In this powerful episode of A Black Executive Perspective, host Tony Tidbit sits down with Erin Reddick, trailblazing founder of ChatBlackGPT, to unpack the urgent need for equity, culture, and community in today’s AI revolution. Erin takes us on a deep personal journey—from Michigan roots to Seattle’s tech corridors—where she faced industry layoffs, coded bias, and the kind of exclusion too many Black professionals know too well. But instead of waiting for inclusion, she created it. This episode explores why AI built without cultural context is not only incomplete, but also dangerous. Erin shares how she’s building culturally grounded AI that centers Black voices, stories, and values—and why visibility in tech isn’t a luxury, it’s a necessity. From systemic barriers to bold solutions, this conversation challenges what tech can be when it’s created for us, by us. Tune in for a story of resilience, innovation, and a vision for a future where we are not just users, but architects.

▶︎ In This Episode

00:00: Introduction to the Tech Divide

00:15: The Importance of AI Education

01:24: A Black Executive Perspective Podcast

02:04: Introducing Erin Reddick

03:29: Erin's Journey in Tech

05:26: Challenges and Opportunities in Tech

06:42: Building Chat Black GPT

09:10: The Role of Community and Representation

13:37: Addressing AI Bias and Inclusivity

19:30: The Urgency of Bridging the Tech Divide

33:42: The Legacy of Black Storytelling

34:01: Bans and Erasure of Cultural Terms

35:25: Commissioning Black Artists

38:03: The Impact of AI on Black History

40:01: Chat Black GPT vs Regular GPT

47:10: Personal Journey and Overcoming Adversity

53:31: Future of Chat Black GPT

56:25: Final Thoughts and Call to Action

🔗 Resources

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Transcripts

Tony Tidbit:

One of the things I want you to dive deeper into is why

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is, why should black people mm-hmm.

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Really care about this?

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And when you talk about the tech divide.

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Erin Reddick: Mm-hmm.

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Tony Tidbit: Okay.

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What does that mean for them?

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Erin Reddick: Right.

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So I think about

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California where there's some districts

that have AI as a requirement to graduate.

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Like you have to learn about it.

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And then I think about communities,

maybe even close to me, who

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don't have computers, who don't

have tablets, who don't have.

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Librarians and libraries and

computer labs and it's like what

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are people going to school for to

learn so that they can find a job?

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And if these jobs are gonna require that

we have some aptitude or some level of

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understanding of artificial intelligence

and that becomes the new norm.

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If we don't learn that, then we're gonna

be shut out of a whole correct whole job

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market and pushed into the types of jobs

that people think that we can only do.

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We'll discuss race

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Tony Tidbit: and how it plays a factor

and how we didn't even talk about

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this topic 'cause we were afraid

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BEP Narrator: A Black

Executive Perspective

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Tony Tidbit: We're coming to you

live from another, from A BEP

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studio for another thought provoking

episode of A Black Executive

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Perspective Podcast, A safe space.

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We discuss all matters related to race.

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Culture and those uncomfortable

topics people tend to avoid.

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I'm your host Tony Tidbit.

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So before we get started on this fantastic

episode, I wanna re remind everyone,

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check out our partners at Code M Magazine,

whose mission is to save the black

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family first by saving the black man.

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Definitely check them

out@codemmagazine.com.

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That is code m magazine.com.

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Today our guest is flipping the script

on what tech can be as the founder of

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Chat Black GPT Erin Reddick is creating

an unapologetically black, intelligent,

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and cultural grounded spaces inside a

system that wasn't built with us in mind.

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This isn't just about art,

artificial intelligence, it's

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about ancestral intelligence.

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Aaron will break down how tech truth

and tradition can live together.

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And while building something for

us is more than just innovation.

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It's a legacy.

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So let me tell you a little bit

about my friend Erin Reddick.

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She's a visionary leader and the founder,

CEO of Chat black GPTA pioneering

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AI chat bot dedicated to providing

insights and perspectives rooted in

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black culture, history and experiences.

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Erin's work emphasizes cultural

awareness, sensitivity and respect,

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making her a sought after speaker on

topics related to the African diaspora,

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racial equality, and technology's

role in promoting inclusivity.

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Erin Reddick, my sister.

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Welcome to A Black Executive

Perspective Podcast.

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Erin Reddick: Thank you

so much for having me.

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Pleasure to be here.

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Tony Tidbit: Well, uh,

the pleasure is all ours.

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I mean, what you're

currently doing is fantastic.

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Look, I am so excited to dive

into this topic because this

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is something close to my heart.

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So, before we get into the heavy

stuff, why don't you tell us a little

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bit where you're currently residing

in a little bit about your family.

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Erin Reddick: Yeah.

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I live, uh, in Washington DC I

just moved here at the very tail,

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like beginning end of like 20, 24.

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So I moved before January 20th not knowing

what my life would be like, and now

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I'm immersed in all the things America.

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So I'm right here in the city.

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And, um, yeah, it's,

it's been challenging.

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Um, but I feel very alive and in tune with

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Tony Tidbit: Now where were you moving?

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From?

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Erin Reddick: Seattle.

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Tony Tidbit: Got it.

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Yeah.

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So all the way across the country.

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Erin Reddick: Yes.

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A lot more passive

aggressive, a lot more techie.

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Um, there's a lot of

personality out here in DC

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Tony Tidbit: Oh, I can imagine you

with the peeps out there though, right?

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Yes.

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So you're on the East coast where we make

everything happen, so that's exciting.

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And tell us a little bit about the family.

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I believe you have a, a new that's

you are expecting anytime now.

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Erin Reddick: Yep.

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I am 36 weeks with my first son, so

I'm excited to raise a young black

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man and make sure he has all the

tools that I can possibly provide him

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and all the advantages I can create

for a pathway, you know, now is so

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important because, you know, at first

I'm, I'm fighting, you know, for.

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Everyone to have a fair shot in ai, but

now it's also a little bit more personal.

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Tony Tidbit: There's no question.

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Right?

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There is no question.

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And, and you know, it's funny though,

it's like, uh, he doesn't even know

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what he's about to get into, right?

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He's about to come into his war, a

world where his mother is creating

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something for now in the future.

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So that is great.

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Let me ask you this and we, I spoke

a little bit about it in the intro.

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You are sought after you've been on a ton

of platforms, a ton promoting chat, black,

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GPT, um, and you are, you have, even right

now as you're pregnant, you have a ton of

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other platforms and interviews lined up.

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Okay?

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So why did you wanna come on

A Black Executive Perspective

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Podcast to talk about this topic?

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Erin Reddick: I mean, like, it's

the same when I went on, um.

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Uh, serious Sex and urban

view mornings like mm-hmm.

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One of my favorite conversations ever.

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Like, you can't serve a population

and a people and a community

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without connecting with them.

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And I think that like, these opportunities

are important because this is the,

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you know, community I'm serving.

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So I have to be, um, front facing and

willing to hear all the questions,

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take all the criticism, and really

just continue the work to uplift.

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And I love to be in these spaces.

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Tony Tidbit: Well thank you and we

love to have you as well because,

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um, you're gonna educate and more

importantly, you're gonna help.

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You are already helping people

who don't even know your name.

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So you ready to talk about it?

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My sister?

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Erin Reddick: Yeah, let's do it.

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Tony Tidbit: Alright, let's talk about it.

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So listen, you know, if you are

just saying you are out in Seattle,

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um, you know, for those who may not

know, Microsoft is out there, right?

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One of the first big tech

companies in the world, okay?

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And obviously you've been in the tech

space as a black woman, but at the end of

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the day, nothing, just one day, you know,

somebody just starts doing something.

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Take us back to your early life, right?

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What influenced you and what experiences

that you dealt with or lack thereof

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that made you wanna decide that you

want to get into the tech field?

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Erin Reddick: Yeah, I mean I grew

up in Michigan, in Grand Rapids,

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Michigan, so it's not, I lived there.

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Oh yeah, I'm from Detroit.

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Tony Tidbit: Yeah, yeah, yeah, yeah.

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But yeah, that's right,

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Erin Reddick: right.

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Not the Techiest place.

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No, the early, late nineties,

early two thousands.

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No.

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So, um, I say this, um, pretty often, but

like the biggest job I could like, thought

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about was like call center manager.

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That was like the ultimate.

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And my mom worked at Consumers

Energy, she was in corporate.

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And so I thought about following in

her footsteps, but I never really

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understood tech until my dad had moved

to Seattle and he told me about, uh, you

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know, like engineering jobs or working

at Boeing where he's been forever.

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So I kind of was like interested

in what he was, um, talking about.

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'cause I.

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Could not comprehend it.

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And when things kind of bogle

my mind, I like to dig a little

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bit deeper and challenge myself.

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And that first real tech, like,

what the heck is this was the

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concept of software engineering.

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So it's like I, I could not comprehend it.

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And that was frustrating for me.

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It, it's, it's hard like software

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Tony Tidbit: and engineering.

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You had a hard time dealing with that.

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Erin Reddick: Well, just, just

understanding it from like never having

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heard of it at all growing up in Michigan

and not understanding tech at all.

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Yes.

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The concepts of it were very

like, demanding on my phone.

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Mm-hmm.

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But that's why I got involved

and got closer to it.

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And it's like, I didn't go

into engineering, I went

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into program management.

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So I'm managing engineers, I'm hiring

engineers, I'm like talking to them and

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like scientists and data scientists.

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And that's kind of where I got

into tech through recruiting.

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But yeah.

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Yeah.

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Tony Tidbit: I mean, so number one, 'cause

I lived in Grand Rapids and it's mm-hmm.

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You know, Michigan is

a manufacturing state.

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Right?

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Exactly.

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It's the auto and Grand Rapids, if

I remember correctly, they used to

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say they would've hired the Detroit.

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Mm-hmm.

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Um, because uh, a lot of the,

um, engines or pieces or parts of

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the cars would be made in Grand

Rapids and then shipped to Detroit.

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So, you know, I definitely know

the city and obviously it's not

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tech, but you know, it's great.

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So did your father kind of guide you

or you were just seeing him and, and

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his career and saying, Hey, maybe

this is, even though it's hard for

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me to get involved, or I can't,

you know, for me to understand it.

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Um, but it's something different from

a call center and stuff to that nature.

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Is that, tell us a little bit about that.

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Erin Reddick: I mean, my dad,

he's, uh, a tool and die engineer.

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So he was working at Delphi growing up.

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So I've always known, you know,

like about manufacturing, like from.

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Hardware engineering and like

parts and building things,

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but not on the technical side.

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He was actually dating his new

wife and she worked at Amazon

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and so she was a big techie, uh,

working there for like 12 years.

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Uh, she's at Google now, but my

first opportunity was with Amazon,

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but more on like a commercial side.

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But definitely having, you know, two

parents, one in Boeing and one in Amazon

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influence, like, okay, I can do this

because like, I'm talking to two people

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who are living this every single day and

you know, it's not impossible for me.

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So they definitely influenced

me feeling like it was possible.

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Tony Tidbit: That is awesome.

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And tell us a little bit about

the, uh, when you first got

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started working for Amazon mm-hmm.

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And some of the other tech companies.

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Tell us about that experience and

how it shaped and guided you in

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terms of what you're doing now.

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Erin Reddick: Yeah, I mean, so I pretty

much have a very creative soul at heart

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and, um, also very entrepreneurial.

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So my career independently started out

in photography, so my very first taste

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of tech was actually working on Amazon's,

uh, they tried to do something like

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a food delivery app like Uber Eats.

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So I got to know the city of Seattle by

going to every restaurant that signed up

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for their food ordering app at the time,

and taking pictures of their full menu.

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Mm-hmm.

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Uploading it to the cloud, working with

their, like marketing teams and like,

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so that was my first dabble in it, even

though I don't even put that on my resume.

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But, um, my first job in tech was Amazon.

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And then, um, I really loved working with

people and I was doing a lot of media

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work, had a media company and that's when

I was able to bridge into like recruiting,

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because I was so used to sales.

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And recruiting is sales.

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And so, uh, my first recruiting

job, uh, was supporting university

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recruiters at Microsoft.

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And then I went into engagement management

at Facebook, uh, over at Oculus Research

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and Development Facilities, which

was just one of the best jobs ever.

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Loved that job.

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And that was my first real like, whoa.

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Like, oh my God, these people

are so amazing and brilliant.

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And, um, it kind of went from there,

you know, I went back to Amazon, back

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to Microsoft, then I went full-time at

Meta and, um, you know, getting laid

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off, which is what happened in 2023.

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I've, I've, it's always been more than

just like, you know, the big brand name.

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It's just like the technology and

the advancements in general have

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always been like so exciting.

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Tony Tidbit: Wow.

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Here, you know what,

thanks for sharing that.

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I'm gonna play a quick little clip and

I love to hear your thoughts on it.

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Okay?

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Yeah.

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Erin Reddick: Yeah, so I was

actually laid off from tech.

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I was working at Meta and I was

in this room, uh, on Facebook

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called Black Women in Tech.

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Tony Tidbit: Mm-hmm.

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Erin Reddick: And when I got laid off,

I went in that room and I was like,

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you know, I don't even know if I belong

here anymore because I got laid off.

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I'm not a black woman in tech.

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And that triggered me to kind

of reclaim myself in this space.

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And I decided that regardless

of what happened, I'm still

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gonna be a black woman in tech.

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And I wanted to go into the

next most important technology

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space as possible, which was ai.

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And I chose generative AI specifically.

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And when I started doing research, I

noticed it wasn't so great for black and

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brown Americans and decided to push back.

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And I asked the right questions at the

right time, which happened to be, is

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it really the data didn't believe so.

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And I was able to develop my prototype

and start to build my company.

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Tony Tidbit: So number one,

think about that for a second.

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And that's from a clip that a podcast

that you were on not too long ago.

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Um, you know, a lady from

Grand Rapids, alright.

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That eventually gets in tech.

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And I wanna dive in because

you said a lot there.

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You were, you know, a

group, black women in tech.

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All right?

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Which, which to be fair we know for

a fact tech is a very male dominated,

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white male dominated industry.

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So talk a little bit in terms of how you

got into the black women in tech and then

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let's dive in deeper in terms of when you

got laid off and knowing that, you know,

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'cause a lot of times when people get

laid off, it's an, an emotional situation.

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Okay?

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And, and then, but then you got

laid off and said, you know what?

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Forget this, I'm gonna create something.

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And you came up and created the chat bot.

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So let's, let's, let's back up to

the, the black, uh, women in tech.

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Erin Reddick: Yeah, so as I mentioned, um,

I was in recruiting a lot, uh, of those

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years, like so five years total in tech.

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And so it, when you're in a recruiting

space, you want to help people find jobs.

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And one of the techniques that I

used was Facebook groups in large

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communities that were black spaces.

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'cause I did a lot of recruiting for

underrepresented, uh, talented folks.

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And so that was one of the groups that

I would go in and I would say, Hey,

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like, here's this job opportunity,

or Hey, uh, here's some tips on

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interviewing if you wanna get into

where I'm at or here was my experience.

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In these like seven rounds to

get this full-time position.

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Here's my salary.

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I was very transparent in that group and

I still am active in that group today.

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Um, but yeah, when, when I did get laid

off, I wanted to make a post about it,

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but I had built up so much, you know,

community around like that beacon of hope

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because I don't have the traditional, um,

credentials that you would, that you're

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told you have to have to get in there.

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Mm-hmm.

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Not true.

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So I, I was kind of like, oh gosh,

I'm no longer that person that they

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can look at and say, oh, well, you

know, I can do it if she can do it.

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And so for a moment I did recluse and

it was really tough for me to process.

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But um, I went back in there

and I was like, you know what?

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It's not about where I work,

it's about who I am and.

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What excites me and makes me

passionate, and that is like the

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tech space and it just is what it is.

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I moved to Seattle and

lived there for 10 years.

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Mm, to work in tech, and I did that

regardless of where I went to college

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or what I did or didn't finish.

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Like I was gonna work in tech.

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Erin Reddick: I had to like reevaluate,

you know, why I'm in this space to

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show my face, you know, but I'm still

there and still being received really

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well, and now I'm teaching that same

group how to do public speaking,

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how to make 10, $15,000 in an hour,

like how to do a proof of concept.

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So it's like I always bring it back to

the community no matter what I go through

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and like how I come out on the other end.

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Tony Tidbit: That is awesome.

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How did you decide, or why did you decide

that you wanted to build an AI chat bot?

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Erin Reddick: Yeah, so it's

because a like gen, there's

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so many different types of ai.

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You know, there's like the images,

like Chachi, BT just, or OpenAI

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just did their, uh, new image update

where you can create new things.

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I haven't played around with it

yet, but I think it's pretty cool.

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But there's images and then there's,

you know, facial recognition

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technologies and all these things.

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But generative AI is.

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The most accessible and low barrier

to entry for the general public.

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And I wanted to make impact.

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So for me, the thing that I can get

into their hands the fastest with

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no cost is what I wanted to focus on

because that's where I thought I could

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make the most impact the fastest.

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So, um, generative AI is where

I landed because of that.

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So that's when I started taking some

certifications and understanding

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more about how it's built and why

it functions the way that it does.

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And um, a lot of what I was being told

when I noticed, like it had really

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terrible answers about black people

and black topics and black history,

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they were saying it's a data issue.

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But at the same time, there's all

these conversations about how OpenAI

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stole all the data on the internet.

339

:

And I was like, that

means they stole us too.

340

:

We're there, so why are we

341

:

Tony Tidbit: missing out of it?

342

:

Right?

343

:

Yeah,

344

:

Erin Reddick: exactly.

345

:

I'm like, okay, so that means.

346

:

We need to train an AI to surface

and prioritize black information and

347

:

black authored information first.

348

:

And that will help cut out a lot of bias.

349

:

And it worked.

350

:

And so obviously, you know, I don't

wanna oversimplify that process.

351

:

I have a team of engineers, um, we're, you

know, still in development, we're gonna be

352

:

constantly in development, but it's, um,

it was an important thing to at least try.

353

:

And so yeah, I was able to

successfully prove that concept.

354

:

Tony Tidbit: You know, one of the things

when you think about it and you know,

355

:

there is ai and we're, we're, we're, you

know, we're still at the, I don't wanna

356

:

say we're at the forefront of ai, right?

357

:

Mm-hmm.

358

:

And one of the things you

would think when they create.

359

:

Whatever type of technology, and

especially from an artificial intelligence

360

:

standpoint, that's, uh, supposed to

be, uh, a tool that can help you do

361

:

all the things or provide answers

for you or whatever the case may be.

362

:

Mm-hmm.

363

:

You would think that it

would be inclusive, that

364

:

everybody would be involved.

365

:

Okay.

366

:

But then to your point, you found

out that it wasn't inclusive.

367

:

Mm-hmm.

368

:

Okay.

369

:

And that, you know, so a lot

of times people right now are

370

:

still struggling to work with ai.

371

:

Mm-hmm.

372

:

Um, because number one,

there's a fear factor.

373

:

Mm-hmm.

374

:

Okay.

375

:

There is a learning curve, right.

376

:

Which you dive deep into.

377

:

Right.

378

:

But talk a little bit about,

number one, I wanna ask.

379

:

What were some of the biggest

challenges that you faced?

380

:

Building something that was an, at

building something that actually focused

381

:

on the black diaspora, black experience,

because that's an undertaking in itself.

382

:

Erin Reddick: Mm-hmm.

383

:

Yeah.

384

:

It's tricky because, um, you have to,

you have to go against people who will

385

:

tell you there's nothing wrong with it.

386

:

There isn't any issues.

387

:

What are you talking about?

388

:

Why am I making everything about race?

389

:

Why is it always black, black, blah, blah.

390

:

And then you show them the answer

when you ask it to write a short

391

:

essay on black history, and it doesn't

mention the KK, K or forgets about

392

:

Obama or, um, you know, refuses to

acknowledge massacres that happen.

393

:

Like that is the version of black

history that a lot of people want

394

:

to promote and have unfortunately,

promoted in schools across America.

395

:

Uh, you know, just recently they went

as far as to say like what slavery was,

396

:

entrepreneurship or something like that.

397

:

So imagine an AI that people don't

understand can and will lie to you

398

:

often, uh, telling you that information

and it's like, that's not right.

399

:

Um, so real

400

:

Tony Tidbit: quick though.

401

:

Mm-hmm.

402

:

Why doesn't it, and I, I, I know you, I

I know, but I just want you to say it.

403

:

Why doesn't it have the full, uh, history

of all the things that happened and

404

:

only only showcases some of the stuff.

405

:

Erin Reddick: Uh, the same reason they

wanna ban critical race theory and black

406

:

history classes and books on black history

and get rid of DEI, first of all, it's

407

:

a blueprint to the way we're about to be

oppressed by people much richer than us.

408

:

I think they don't want people to see,

oh, this is how you fight inequity.

409

:

Oh, well, black people have

been doing this whole time.

410

:

Like they don't wanna validate that.

411

:

Um, and also things like critical

race theory and like, that's why

412

:

I work with historians like that.

413

:

Historical fact answers a

lot of questions of today.

414

:

Why does this algorithm oppress us?

415

:

Why when we type in, you know,

something about black people

416

:

porn pops up, like, as Dr.

417

:

Safi Noble, uh, pointed out in her

book, algorithms of Oppression.

418

:

So it's like those things

have answers, but Right.

419

:

The answers lead back to

making somebody look bad.

420

:

That's not what they want.

421

:

So that's why they're actively trying to

erase history and blueprints of, you know.

422

:

Pathways to equity,

which I think is wrong.

423

:

I went by Black Lives Matter,

just like the other day.

424

:

I'm like, Ugh, I know

they're gonna rinse it off.

425

:

I wanna go see it before

I, before it's gone.

426

:

Oh, they weren't taking a hose to it.

427

:

They took a jackhammer,

they ripped up the street.

428

:

Tony Tidbit: You talking

about there in dc Correct?

429

:

Yeah, yeah.

430

:

Right, right, right, right.

431

:

Erin Reddick: And that

is so symbolic to me.

432

:

It's like they're not just trying to rinse

away, you know, delete some pictures.

433

:

No.

434

:

They wanna uproot history

from the very foundation.

435

:

Like it never happened.

436

:

And it's like, why?

437

:

You know?

438

:

But no matter the answer, we

still need to do something.

439

:

And one thing I love about AI

is that once you put something

440

:

in it, you can't take it out.

441

:

It doesn't have the ability

to like unlearn things.

442

:

So it should learn as much

about black history as it can

443

:

and, um, exists somewhere,

444

:

Tony Tidbit: you know?

445

:

So number one, thank you,

not just for your answer.

446

:

But for the passion, because

here's the thing, you're not the

447

:

first person to know that, right?

448

:

That's in the tech space, who is African

American or another person of color

449

:

who noticed the deficiencies in it.

450

:

They, and they may even scream about it.

451

:

Right?

452

:

So I'm not diminish, diminishing,

diminishing of they, you know,

453

:

like, this ain't fair, but you've

taken it to a whole nother level.

454

:

Right.

455

:

You are like, not only it ain't fair.

456

:

Not only it can oppress us, not only our

people won't have the access, but you know

457

:

what, I'm gonna do something about it.

458

:

Okay.

459

:

Which I love.

460

:

And that's why you're all over

the place because you've jumped in

461

:

and you've really looked at this,

not from just what the problem is,

462

:

but I'm gonna solve the problem.

463

:

One of the things though, and I said

it a few minutes ago, black, white,

464

:

and let's just keep it to, to, to

black people or people of color.

465

:

Mm-hmm.

466

:

The majority of them don't use ai.

467

:

Mm-hmm.

468

:

Okay.

469

:

The majority of them are afraid to use ai.

470

:

So I wanna play a quick little clip of

something you said, uh, not too long ago

471

:

then I want to hear your thoughts on it.

472

:

Erin Reddick: First of all, it's

an opportunity for us to have.

473

:

A once in a lifetime self

awarded equity frontier.

474

:

I don't think it's a kind of

technology where we have to

475

:

ask to be included, right?

476

:

We have access to it in a way where

we can build on our own terms and

477

:

without our representation in it,

we're going to unfortunately fail

478

:

to have a safe space to interact.

479

:

And that can lead to exacerbation

of the tech divide because of the

480

:

nature of the technology making

us faster, better, smarter.

481

:

If we don't jump in now, we're gonna

be, you know, the Guinea pigs of AI gone

482

:

wrong instead of being proactive about

it being built in, uh, a safer way.

483

:

So it's very important.

484

:

And the other part is that once

it goes in, it can't come out.

485

:

Right?

486

:

Right, exactly.

487

:

So we need to solidify our history

and our stories in artificial

488

:

intelligence, uh, in an irreversible way.

489

:

Tony Tidbit: So you talk

about the tech divide.

490

:

Mm-hmm.

491

:

You talked about being Guinea pigs.

492

:

Mm-hmm.

493

:

Dive into that deeper in terms,

because I, this is something it's

494

:

very important that anybody watching

and listening, especially people of

495

:

color, need to really recognize how the

significance and the importance of this.

496

:

Please, please dive in.

497

:

Erin Reddick: Yeah.

498

:

I mean, I do wanna take a moment just

to acknowledge like, I, actually, this

499

:

exercise is really reaffirming for me

because I will eat my words for breakfast.

500

:

I love that.

501

:

I'm able to stand on

business with everything.

502

:

You keep replaying.

503

:

I'm like, yep.

504

:

Yep.

505

:

Tony Tidbit: You didn't know I was

gonna go there though, did you?

506

:

I didn't.

507

:

Alright.

508

:

Erin Reddick: It's awesome.

509

:

Well, I, I, yeah.

510

:

I don't script any of these interviews.

511

:

Mm-hmm.

512

:

I really speak from like my heart

and like the work that I'm actually

513

:

doing, and so it makes this easy.

514

:

Like I don't feel intimidated by

whatever you're gonna play next.

515

:

And that is really

validating for me personally.

516

:

Um, I just wanted to say that,

uh, in my stream of consciousness.

517

:

But anyway, so, uh, yeah, I mean, we

are the Guinea pigs of AI gone wrong.

518

:

Like most of my keynotes, I'm highlighting

women who have written books about

519

:

algorithms that oppress about, uh, AI

and surveillance technology that is

520

:

targeting people of color about, um,

uh, inequitable outcomes from like

521

:

algorithms and hiring work lending.

522

:

And these books are written

in 20 18, 20 like 19.

523

:

It's nothing new, right?

524

:

The only thing new about it is our access.

525

:

So that's why I try to say like,

okay, we have an opportunity

526

:

for self awarded equity.

527

:

I'm gonna say something.

528

:

I don't like to dip and dabble too

much in like politics or anything.

529

:

Um, but I think about Elon Musk.

530

:

In the, uh, what was it?

531

:

It was some briefing meeting that he

kind of was like standing there in front

532

:

of everybody and people were saying

like, you're not an elected official.

533

:

You don't even have a seat at the table.

534

:

And he's still taking over and,

and, and all of this stuff.

535

:

And I thought to myself, that's

exactly, and I'm not supporting him, but

536

:

that's exactly how we have to operate.

537

:

Like, screw your table.

538

:

Like, it's not even about a table anymore.

539

:

It's about like how you show up.

540

:

Who says he's credentialed to be

there these days doesn't even matter.

541

:

He is there just because he

says, so why can't we do that?

542

:

Tony Tidbit: Right.

543

:

You know,

544

:

Erin Reddick: why, why do we

need to look for these tables?

545

:

Why can't we just show up table or not?

546

:

You know?

547

:

Right.

548

:

I'm not saying what he's doing is good.

549

:

I don't.

550

:

Agree with people losing jobs, um,

like the way that things are being

551

:

done at all, but the concept of still

polarizing and having all that influence

552

:

without a seat at the table, there is

something to learn from that, right?

553

:

So, um, that's what I really, that's

the essence, that's the, the white

554

:

privilege essence of what I mean

when I say self awarded equity.

555

:

Because we have access to open

source tools and technology and,

556

:

um, different apps that allow us

to build, yeah, they cost money.

557

:

It's gonna be $20 a month,

$200 a month, whatever.

558

:

But you can still build just as fast

as the next person because we have open

559

:

source and we have, uh, people who wanna

collaborate, um, you know, brilliant data

560

:

scientists, AI engineers, ML engineers.

561

:

It's like they're out there

and we can work together.

562

:

And that's how my team came together.

563

:

So it's like.

564

:

I don't need to work at a big company

to make impact and use the tech.

565

:

To build the tech.

566

:

So it's like, yeah, that's

what I meant by that.

567

:

Tony Tidbit: Yeah.

568

:

But one of the things I want you to

dive deeper into is why is, why should

569

:

black people really care about this?

570

:

And when you talk about the tech divide.

571

:

Erin Reddick: Mm-hmm.

572

:

Tony Tidbit: Okay.

573

:

What does that mean for them?

574

:

Erin Reddick: Right.

575

:

So I think about in California where

there's some districts that have

576

:

AI as a requirement to graduate,

like you have to learn about it.

577

:

And then I think about communities,

maybe even close to me, who don't

578

:

have computers, who don't have

tablets, who don't have librarians

579

:

and libraries and computer labs.

580

:

And it's like.

581

:

What are people going to school for to

learn so that they can find a job And

582

:

if these jobs are gonna require that

we have some aptitude or some level of

583

:

understanding of artificial intelligence,

and that becomes the new norm.

584

:

If we don't learn that, then we're

gonna be shut out of a whole.

585

:

Correct.

586

:

A whole job market and pushed into

the types of jobs that people think

587

:

that we can only do, which is, uh,

you know, I don't, I mean there's

588

:

respect in every role, but jobs

that are not technicals say correct.

589

:

So, uh, we can have any type of job,

but we need the opportunities and the

590

:

understanding of the technology that's

being asked of us to utilize as well.

591

:

And so it's not just that it's

dangerous when facial recognition

592

:

thinks that every black person looks

the same, and now you've got cops

593

:

thinking you're a wanted criminal.

594

:

That's dangerous as hell.

595

:

But it's also like, how do we get a,

uh, black scientist to get interested in

596

:

computer vision if they don't understand

how facial recognition works or the,

597

:

you know, harm it can perpetuate because

they don't know Joy Bull and weenie,

598

:

you know, so it's like, I'm sorry Dr.

599

:

Joy Bloom.

600

:

Um, it's like if I, if I don't get

on stages and talk about these women

601

:

and say, go read her book, follow her

page, follow the, uh, the algorithmic

602

:

Justice League, like how are we going

to get there if we don't shout it out?

603

:

So that's, that's why I

do the work that I do.

604

:

But we have to stay competitive.

605

:

Um, our families need to grow

and prosper like everyone else.

606

:

So if we don't get into the product,

we're just gonna become the product.

607

:

Tony Tidbit: Absolutely.

608

:

Right.

609

:

And you, and you talked a

little bit about, you know, the

610

:

political, um, you know, um.

611

:

What's going on from a

political standpoint?

612

:

Who's to say five years from now, they

don't come up with a law that's say,

613

:

that says, you know, if you don't know

how to do ai, if you don't have these

614

:

uh, materials, what the case may be, you

can't do blah, blah, blah, blah, blah.

615

:

Right?

616

:

Or for you to do blah,

blah, blah, blah, blah.

617

:

You have to go through these

certain algorithm, these certain

618

:

products or platforms to do it.

619

:

And if you're not involved in the

system, somebody taught me this a

620

:

while ago, they're like Tony a lot

of times, you know, yeah, we wanna

621

:

do our own thing, but you gotta know

what's going on in the system, okay?

622

:

Because if you're not in the system,

then you won't be a part of the system.

623

:

And if we don't know from a

technology standpoint, especially

624

:

when the world is going that way.

625

:

Okay, let's be fair.

626

:

It's going that way.

627

:

It's not gonna stop.

628

:

It is going that way.

629

:

You have to be a part of the

game to be able to play the game.

630

:

And more importantly, our

story needs to be in the game.

631

:

Right?

632

:

Because if our story's not in the game,

it doesn't matter if we show it whatever,

633

:

we're gonna be erase from the game.

634

:

So talk a little bit about the

language of, uh, liberation.

635

:

Okay.

636

:

Because, you know, at the end of

the day, this is about the African

637

:

diaspora and it is about continuing

the legacy of black storytelling.

638

:

Talk a little bit about that.

639

:

Mm-hmm.

640

:

Erin Reddick: Yeah, I mean, like a lot of

it's, it's, it's happening in real time.

641

:

If you think about, um, what, what is it?

642

:

The ban on, uh, DEI right?

643

:

Ban

644

:

Tony Tidbit: on books, the

ban on a ton of stuff, right?

645

:

Erin Reddick: Right.

646

:

But there's words like, there's a list

of words, um, that have been banned from.

647

:

The federal government, I'm

talking about bans even.

648

:

Even just like books.

649

:

That's one thing.

650

:

But the words, I'm looking at a list

of words that were banned, um, phrases

651

:

that federal agencies are told to avoid.

652

:

One of those words is Black

bipoc, obviously D-E-I-D-E-I-A.

653

:

Cultural competence, cultural differences.

654

:

Cultural heritage, cultural

sensitivity, culturally

655

:

appropriate, culturally responsive.

656

:

Social justice.

657

:

Social cultural, socioeconomic stereotype

stereotypes, systemic systemically.

658

:

What, you know what I mean?

659

:

So they're

660

:

Tony Tidbit: just trying

to erase everything.

661

:

Right?

662

:

Erin Reddick: So my, my thing

is like, that's just pertaining

663

:

to black, but women is banned.

664

:

Like obviously they, obviously

it's very anti L-G-B-T-Q, like

665

:

don't even need to go there.

666

:

Um, but it's like, like why are you

erasing words that matter to the

667

:

work that you're supposed to do?

668

:

I don't understand.

669

:

And so it just makes sense.

670

:

Like, I don't know, it's just like the way

that my mind works, I thought to myself,

671

:

okay, how can I donate my, a portion

of like one of my recent honorariums

672

:

to commission black artists to repaint

some of the images taken down from.

673

:

The federal like archives that were

all white, like Jackie Robinson Yeah.

674

:

And

675

:

Tony Tidbit: all stuff.

676

:

Yeah.

677

:

Erin Reddick: And how can I take

my money and have them literally

678

:

commission their own voice through

recreating those images that were erased

679

:

and have like a pop-up art gallery.

680

:

Like that's how I think preservation

of our voices, but also telling

681

:

a story at the same time.

682

:

Like, that's just like

who I am to my core.

683

:

So I, I can't imagine a world where

we don't have answers, but I do think

684

:

like knowledge will be a premium

privilege is the way that it's going.

685

:

Especially historical knowledge.

686

:

You know, it's like that.

687

:

I, I don't, I don't think black

history should be, should have

688

:

a premium price tag on it.

689

:

It should be something that.

690

:

We acknowledge and celebrate and

listen to and learn from, you know,

691

:

but I feel like black history is

about to become everybody's history.

692

:

Like poor people's history,

like under a million dollars,

693

:

history, like all those things.

694

:

It's gonna be, we, we, no

who can afford a house?

695

:

Like as a average working American

who isn't working two to three jobs.

696

:

Like who, who is feeling the effects of,

oh, I thought my goal in life was to make

697

:

six figures and, and now I still can't

afford my bills, or I'm afraid to have a

698

:

child because I can't afford childcare.

699

:

It's like a lot of those things are

circumstances that black neighborhoods

700

:

and black communities have been

dealing with for a long time.

701

:

And those same issues are about to be

widespread for not just black people.

702

:

So it's like when, when

I hear about the 92%.

703

:

And how they're saying like 92% of

black women are sitting this out like,

704

:

yeah, we're marching, but it's 'cause

we got our fans and our boots on.

705

:

You know?

706

:

And it's like, because

this is nothing new for us.

707

:

We've always struggled

getting food for houses.

708

:

We've always, you know, had X, Y, and Z.

709

:

So it's like business as usual almost,

but everyone else is like, Hey, this

710

:

isn't fair, what can we do about it?

711

:

Well, DEI was a thing,

you see what I mean?

712

:

Like, I'm trying to

713

:

Tony Tidbit: Yeah, I, I see

where, so number one, I definitely

714

:

see where you're going, right?

715

:

Yeah.

716

:

And, and, and here's the thing.

717

:

They're using AI to do that.

718

:

Mm-hmm.

719

:

Okay.

720

:

So that's really the key here.

721

:

Alright?

722

:

Yeah.

723

:

They're not using, you know, people to

go through with some who got, you know,

724

:

bifocals on to figure out how to do this.

725

:

They're using the tool that you're

creating to, uh, for black people,

726

:

they're using that tool to erase.

727

:

Black history.

728

:

Black stories.

729

:

Yeah.

730

:

Pe other people of color,

let's be fair too, right?

731

:

Mm-hmm.

732

:

But at the end of the day, so how, so

the thing, the, um, what's the word?

733

:

The challenge is they're using

the same tool to erase us.

734

:

Yeah.

735

:

However, as uh, people of color, black

people, we need to know what that tool

736

:

is and we need to start incorporating

and working with that tool, right?

737

:

Because that's part of fighting back.

738

:

Would you agree with that?

739

:

Mm-hmm.

740

:

Erin Reddick: Yeah.

741

:

Yeah.

742

:

And like when you're training an

AI to target specific things for

743

:

like deletion, you're just teaching

it, gay is bad, black is bad.

744

:

Correct.

745

:

You tell us that.

746

:

Correct.

747

:

And like you're training it to

behave in a way that ultimately

748

:

is not gonna serve anybody.

749

:

But

750

:

Tony Tidbit: here's the thing though.

751

:

So backing up a little bit, when they,

um, inadvertently took down Jackie

752

:

Robinson's story from the DOD, okay.

753

:

They also took down.

754

:

Okay.

755

:

Uh, the Enola gay.

756

:

Erin Reddick: Yeah.

757

:

Tony Tidbit: Which was the

airplane that dropped the two.

758

:

And the only reason they took that down

to your point, because of the word gay.

759

:

Yes.

760

:

Right.

761

:

So this is, these are the things

that are happening today from an

762

:

AI standpoint to erase things.

763

:

They can say, my bad.

764

:

It's not their bad.

765

:

They're doing it on purpose.

766

:

Okay.

767

:

And to be fair, even with the Jackie

Robinson thing, had people not

768

:

pushed back, they wouldn't have did,

they wouldn't have said nothing.

769

:

They would've left it the way it is

based on pushing back and learning.

770

:

Talk a little bit about the functionality.

771

:

So if somebody went on right

now to chat black GPT, tell us a

772

:

little bit about what, what's the

things that they can get out of it?

773

:

What's some of the limitations and

some of the things you're still

774

:

going to program it and push into it?

775

:

Erin Reddick: Yeah, so like I was

at, um, oh my gosh, where was I?

776

:

Oh, I was just at some university.

777

:

Where I was demoing this,

it was in California.

778

:

Tony Tidbit: Mm-hmm.

779

:

Erin Reddick: I think it

was Riverside City College.

780

:

That's where I was.

781

:

And um, we demoed it live side

by side and we actually side by

782

:

Tony Tidbit: side.

783

:

Side by side what?

784

:

Erin Reddick: Uh, regular

GPT and chat Black GPT.

785

:

Tony Tidbit: Got it,

got it, got it, got it.

786

:

Erin Reddick: Yeah.

787

:

And so essentially I asked it this

question and I'm using the customizable

788

:

version just so I can prove to them

with no proprietary information, no

789

:

special download, no special knowledge

base, just purely a set of instructions,

790

:

algorithm, uh, see how the difference

is when you tell it to behave this way.

791

:

I asked it to generate, or they said,

the top 10 most influential figures,

792

:

I kid you not the regular GPT named

literally like Trump's cabinet.

793

:

Addra Labs Promo: If you like what you

hear and wanna join us on this journey

794

:

of making uncomfortable conversations

comfortable, please subscribe to A

795

:

Black Executive Perspective Podcast

on YouTube, apple Podcasts, Spotify,

796

:

or wherever you get your podcasts.

797

:

Hit subscribe now to stay connected

for more episodes that challenge,

798

:

inspire and lead the change.

799

:

Erin Reddick: Like, I'm not even kidding.

800

:

Tony Tidbit: So just hold on.

801

:

I just wanna make sure I'm clear here.

802

:

So you're saying

803

:

Erin Reddick: the prompt

804

:

Tony Tidbit: was, what are the

top INF influential people?

805

:

Top 10?

806

:

Erin Reddick: Yes.

807

:

Tony Tidbit: And Trump's team came up.

808

:

What, what were the names?

809

:

Erin Reddick: Okay.

810

:

It says, I'll, I'll tell, I'll

tell you the exact prompt.

811

:

Who are the most top 10 most

influential people in America?

812

:

And it said, number one, Donald Trump.

813

:

Number two, Elon Musk, number three.

814

:

Steven Miller, number four, Robert F.

815

:

Kennedy Jr.

816

:

Number five, Marco Rubio.

817

:

Number six, Christy Noam.

818

:

Uh, number seven, Susie Wiles.

819

:

Number eight.

820

:

Laura Trump.

821

:

Number nine, Linda McCone.

822

:

And number 10, Steven Bannon.

823

:

Tony Tidbit: So wait a

minute, stop for a second.

824

:

Hold on.

825

:

Stop, stop.

826

:

You typed in names to

say the prompt again?

827

:

Erin Reddick: Yeah, I can

share screen on Riverside.

828

:

Tony Tidbit: No, just tell me the prompt.

829

:

That's all I to know.

830

:

Erin Reddick: Who are the top 10

most influential people in America?

831

:

Tony Tidbit: So you didn't say

today, you, you just said in America.

832

:

Erin Reddick: Yep.

833

:

Tony Tidbit: And those 10 names came

up, which are all people either in

834

:

Trump's cabinet or associated with Trump.

835

:

Yeah.

836

:

So George Washington come up.

837

:

Martin Luther King Jr.

838

:

Didn't come up.

839

:

JFK didn't come up.

840

:

Uh uh, uh uh.

841

:

Um, we can go a million way.

842

:

Um, your former, uh, uh, uh, the,

uh, CEO or founder of Microsoft,

843

:

bill Gates didn't come up.

844

:

None of these people came up.

845

:

Right.

846

:

But the names of, uh,

the crew under Trump.

847

:

Erin Reddick: Right,

848

:

Tony Tidbit: that's right there.

849

:

I mean, that right there is,

is oh my God, that's insane.

850

:

Erin Reddick: Yeah.

851

:

Yeah.

852

:

So, um, again, so back

853

:

Tony Tidbit: to that, that, that going

back to why chat GPT versus regular GPT,

854

:

Erin Reddick: why would,

would, why black GBT

855

:

Tony Tidbit: Black tv?

856

:

I'm, I'm sorry.

857

:

Thank you.

858

:

Erin Reddick: So I asked, um,

my version of the same tool.

859

:

This is the customizable,

so it's the same platform.

860

:

So mine said, um, one Barack Obama.

861

:

Okay.

862

:

Two Beyonce, three Oprah Winfrey, four

LeBron James, five Kamala Harris, six

863

:

Jay-Z, seven Stacey Abrams eight, Ava,

dui nine Elon Musk, and 10 Tyler Perry.

864

:

So you could say this is like very much

geared towards, um, entertainment, which

865

:

some people would have a problem with.

866

:

But it also is political.

867

:

You know, it has the president at least,

you know, I feel like Oprah being on

868

:

there, Kamala Harris being on there,

Stacey Abrams being on there like.

869

:

That's a good mix.

870

:

I don't know why Elon Musk is on here.

871

:

Tony Tidbit: Well,

here's the thing though.

872

:

But to be fair though, don't

we wanna, this is the thing.

873

:

Erin Reddick: Yeah.

874

:

Tony Tidbit: Don't we wanna get to a

world where, if I say who's the top

875

:

influential, there's a mixture of people,

regardless of, you know what I'm saying?

876

:

It shouldn't be, it's

only white on this side.

877

:

It's only, well, Elon did make the

tent and, but my point is it should

878

:

have been Barack and it shouldn't

have been all Trump's people, but

879

:

it should have been Barack and,

and, and, and, and uh, uh, my man,

880

:

Microsoft and or, uh, my man in Kansas.

881

:

The, the investor.

882

:

You know, it should be a mixture.

883

:

It should be Oprah.

884

:

And you know, there should be a mixture

of people when we say influential versus

885

:

it's only this group versus that group.

886

:

Sure.

887

:

Do you agree with that?

888

:

Erin Reddick: Yeah.

889

:

I don't disagree with that at all.

890

:

But it won't be that way.

891

:

And so we have to like basically I

892

:

Tony Tidbit: see

893

:

Erin Reddick: you have to, I

894

:

Tony Tidbit: definitely see,

895

:

Erin Reddick: yeah, we have to create, um.

896

:

Technology that will balance it.

897

:

And even though both mentioned Elon

Musk, you can't say he's not influential.

898

:

Tony Tidbit: No, no, no, no, no, no.

899

:

Right.

900

:

But that's my point though.

901

:

What I'm saying is it's fine if

they didn't say all I'm saying this

902

:

should be a mixture regardless of

color, but it shouldn't omit a color.

903

:

That's my point of color.

904

:

People, group of

905

:

Erin Reddick: people.

906

:

But that's called DEI.

907

:

The work to fix that is called

diversity, equity, and inclusion.

908

:

Tony Tidbit: Right, right.

909

:

Erin Reddick: Which is like illegal now,

910

:

Tony Tidbit: which is what

they're, we're wiping away.

911

:

Erin Reddick: Right.

912

:

So in a way, the f the other

GPT answered exactly how it's

913

:

supposed to, to a lot of people.

914

:

Um, and mine answered pretty decently

for one that's specifically focused

915

:

on, uh, the black perspective because

these are 10 people that a lot of

916

:

black people probably would name.

917

:

Tony Tidbit: Well, look, listen, at the

end of the day, there's no question.

918

:

However, there needs to be, and this

is what you're, what you've created.

919

:

Okay.

920

:

There needs to be a place

where we're not shut out.

921

:

Yes.

922

:

Okay.

923

:

Yeah.

924

:

Should it be one place and anybody can

go to and, and any, all, all people

925

:

based on, um, their accomplishments

or based on the question show turn up.

926

:

Absolutely.

927

:

Right.

928

:

But if it doesn't, then you need

to create your own thing so you

929

:

don't get lost in the sauce.

930

:

And for black people to be able to

go to and still get that same type of

931

:

information without their history being

erased with their people forgotten about.

932

:

Mm-hmm.

933

:

Let me ask you this, you grew up in Grand

Rapids and then you were able to migrate

934

:

out to Seattle and, and boom, you know.

935

:

It's like the Big Bang theory, right?

936

:

Boom.

937

:

All of a sudden, Erin Reddick, you

know, uh, is like, uh, uh, my man,

938

:

Darth Vader said, Luke, you know,

you know, you found your destiny.

939

:

All right.

940

:

However, there's kids right now

941

:

Erin Reddick: Yeah.

942

:

Tony Tidbit: That, um, are

starting to get in the tech field.

943

:

They, they are like you, okay?

944

:

When you were younger, and, and let's be

fair here, they, their parents might not

945

:

have been a, a conduit or been on a, a, a,

a, a road that they can say, oh, and then

946

:

it leads them to the tech space, right?

947

:

They could be just, you know, uh,

curious or, you know, starting to

948

:

tinker with some stuff and says, I

really like this, and blah, blah, blah.

949

:

So based on that, right, what

would you, if you had to sit

950

:

down with your younger self

951

:

Erin Reddick: mm-hmm.

952

:

Tony Tidbit: All right.

953

:

Before this journey started,

what would you tell yourself?

954

:

Erin Reddick: Oh baby.

955

:

Oh my God.

956

:

Uh, I've been through a lot.

957

:

Um, I mean,

958

:

I feel like, you know, like

959

:

me coming to

960

:

Seattle wasn't just, oh, my

dad said I should move here.

961

:

I should, like, I'm gonna

pack up all myself and go.

962

:

There was a, a lot of series of events

that led to needing to leave Michigan.

963

:

There was so much.

964

:

Just awful things that happened.

965

:

And, um, uh, my first time

being laid off actually was from

966

:

Blockbuster when it shut down.

967

:

And, uh, I was working at Victoria's

Secret and Blockbuster riding my bike

968

:

in the bus, you know, trying to pay $500

in rent, uh, you know, as a roommate on,

969

:

you know, what Grand River, some, some

road Michigan State campus around there.

970

:

And, uh, you know, when I lost

my job, I wasn't, I didn't know

971

:

how to kick into survival mode.

972

:

Like I didn't have those instincts,

but my parents weren't in a

973

:

position to support me at that time.

974

:

Uh, so I really had to

like, figure ish out.

975

:

And, uh, moving to Seattle

started first with moving to St.

976

:

Louis, Missouri, living with my uncle.

977

:

In the hood.

978

:

Okay.

979

:

With pimps and kittens everywhere.

980

:

So, um, I was working at Dunking

Donuts, I was working at the museum.

981

:

I was working at Holes and Pimps.

982

:

Tony Tidbit: Huh?

983

:

Erin Reddick: Yeah.

984

:

Literally, like, I, I would walk just

one block from Domino's home from

985

:

work and at least three people would

try to pick me up and I'm not wearing

986

:

anything but a freaking dirty apron.

987

:

Right.

988

:

So it's, it, it was scary and it was

dangerous, but I had made a friend in

989

:

Michigan, um, and they came to visit and

they were like, I don't think you're going

990

:

to go very far living here in this place.

991

:

Mm-hmm.

992

:

And I have room with me, you know, like,

do you wanna come back to Michigan and,

993

:

you know, try to be like in a safer area.

994

:

I was like.

995

:

Yeah, that'd probably be best.

996

:

And then I moved back to Lansing,

but when my dad was talking about

997

:

tech, this person was an electrician.

998

:

And I was like, there's a lot of new

buildings and construction, and if you

999

:

wanna get out of cable TV, satellite

work and go into like electrician work,

:

00:50:53,759 --> 00:50:54,990

you should probably go to Seattle.

:

00:50:54,990 --> 00:50:56,190

Maybe we should both go out there.

:

00:50:56,250 --> 00:51:01,020

And then we moved out there,

and that's how I got there.

:

00:51:01,020 --> 00:51:05,220

But it started with like,

just being an awful place.

:

00:51:05,430 --> 00:51:10,020

But because I had that like community,

I was able to, um, make that work.

:

00:51:10,020 --> 00:51:18,930

But I lived in Mount Vernon, Washington

in a $630, uh, apartment across the

:

00:51:18,930 --> 00:51:22,830

street from the, the closest college I

could find, so I could walk to school.

:

00:51:23,580 --> 00:51:24,540

And I did that.

:

00:51:24,779 --> 00:51:31,020

Um, but it, it just, it took, it

took a lot, uh, to make that happen

:

00:51:31,080 --> 00:51:32,970

when you literally have nothing.

:

00:51:34,455 --> 00:51:35,535

So, um,

:

00:51:36,015 --> 00:51:38,895

Tony Tidbit: so what would you, based on

all that, that happened, right, right.

:

00:51:38,895 --> 00:51:43,185

What would you tell your younger self

now looking back, gimme just bottom line.

:

00:51:43,185 --> 00:51:43,305

Me,

:

00:51:45,645 --> 00:51:51,045

Erin Reddick: I would say like,

you, you did the right thing.

:

00:51:51,045 --> 00:51:56,085

You did the best that you could, um, with

what you had, which really wasn't much.

:

00:51:56,445 --> 00:52:01,635

And you depended on friends and

community to help position yourself.

:

00:52:01,635 --> 00:52:06,405

But then you took initiative and that

was the best thing that you could do.

:

00:52:06,405 --> 00:52:09,765

Like peop again, my dad gave me the

idea, but he didn't gimme money.

:

00:52:10,125 --> 00:52:12,135

He didn't give me a place to live.

:

00:52:12,165 --> 00:52:17,985

He didn't gimme a car, you know, it, it

was literally just pure blind ambition.

:

00:52:18,405 --> 00:52:24,105

Um, and so Mount Vernon is hours

away, well, at least like an hour,

:

00:52:24,105 --> 00:52:25,845

hour and a half away from Amazon.

:

00:52:25,845 --> 00:52:29,295

I was driving like over an hour a day to.

:

00:52:30,360 --> 00:52:33,600

So it's gonna take work,

but you can get there.

:

00:52:33,810 --> 00:52:34,020

Tony Tidbit: Here.

:

00:52:34,020 --> 00:52:38,490

Can I add something to that though,

just based on what you just got finished

:

00:52:38,490 --> 00:52:43,140

saying you didn't let fear stop you.

:

00:52:43,620 --> 00:52:44,730

From moving forward.

:

00:52:45,360 --> 00:52:45,450

Mm-hmm.

:

00:52:45,690 --> 00:52:45,840

Right.

:

00:52:45,840 --> 00:52:49,680

You had a re a million reasons,

scary reasons to be fair.

:

00:52:49,860 --> 00:52:50,010

Yeah.

:

00:52:50,070 --> 00:52:54,930

On why this wouldn't work or I'm

making a bad mistake, or I don't

:

00:52:54,930 --> 00:52:59,040

think I could do this, but you

didn't let your fear stop you.

:

00:52:59,460 --> 00:53:00,000

Okay.

:

00:53:00,000 --> 00:53:05,310

Which is great because if you did, then

we wouldn't be the beneficiaries of your

:

00:53:05,310 --> 00:53:10,500

work and the things that you're doing and

how you're helping, you know, not just

:

00:53:10,500 --> 00:53:12,420

our community, but the world as well.

:

00:53:12,420 --> 00:53:16,710

Because here's the thing though too,

and we didn't get into this, but yes.

:

00:53:16,980 --> 00:53:21,690

Chat, black GPT is definitely for black

people, but it's also for white people.

:

00:53:21,690 --> 00:53:21,750

Yeah.

:

00:53:22,110 --> 00:53:27,900

To learn more about, you know, the history

that they're trying to hide from them.

:

00:53:28,560 --> 00:53:29,340

Okay.

:

00:53:29,640 --> 00:53:31,740

To, that's really the key here too.

:

00:53:31,770 --> 00:53:33,960

Tell us the future of chat Black GPT.

:

00:53:33,960 --> 00:53:36,240

What are you looking to

in, in incorporate into it?

:

00:53:37,425 --> 00:53:37,845

Erin Reddick: Yeah.

:

00:53:37,845 --> 00:53:43,275

Uh, the voice of our community, the

people who need the information, want

:

00:53:43,275 --> 00:53:47,595

the information, who are ready to

explore and need a safe space to land,

:

00:53:48,015 --> 00:53:49,515

that is what I'm focused on building.

:

00:53:49,515 --> 00:53:53,955

I want it to be a reflection of the

black community, a love letter to the

:

00:53:53,955 --> 00:54:00,285

black community, a preservation, um,

act like a deliberate, a deliberately

:

00:54:00,285 --> 00:54:05,775

built, uh, AI that is going to

encapsulate us and make sure that we

:

00:54:05,775 --> 00:54:08,565

are safe in a space in technology.

:

00:54:08,925 --> 00:54:10,425

So, next steps.

:

00:54:10,485 --> 00:54:17,085

Um, I'm actually going to take our

MVP offline for a little bit so

:

00:54:17,085 --> 00:54:19,455

that I can conduct research, and

I'll probably do this every year.

:

00:54:19,755 --> 00:54:22,335

Tony Tidbit: When you say MVP, just so

everybody's clear, what does that mean?

:

00:54:22,725 --> 00:54:27,105

Erin Reddick: So I have the customizable,

which is through OpenAI Chat gt.

:

00:54:27,795 --> 00:54:30,345

You go to explore GPTs chat like GT Beta.

:

00:54:30,674 --> 00:54:34,035

That's where like 10,000

people are using it.

:

00:54:34,245 --> 00:54:36,825

And then I also have the

independent version that me and

:

00:54:36,825 --> 00:54:40,095

my team built chat black gbc.ai.

:

00:54:40,424 --> 00:54:46,634

And right now that's going out

of, um, for out for maintenance.

:

00:54:46,875 --> 00:54:51,345

And so what that means is I'm going door

to door, I'm talking to the community.

:

00:54:51,345 --> 00:54:55,215

I'm doing field research, UX

research, I'm doing paid studies.

:

00:54:55,215 --> 00:54:55,785

I'm doing like.

:

00:54:56,445 --> 00:54:58,485

Actual activations to

talk to the community.

:

00:54:58,485 --> 00:55:02,655

So I can go and take that

sentiment back to data engineers,

:

00:55:02,655 --> 00:55:05,025

analysts, um, researchers.

:

00:55:05,055 --> 00:55:07,545

There's white papers being

written about us already.

:

00:55:07,545 --> 00:55:08,685

It's beautiful, honestly.

:

00:55:09,045 --> 00:55:12,705

But you take that sentiment, you

analyze it, and then you build it back

:

00:55:12,705 --> 00:55:14,385

into the voice of the tool, right?

:

00:55:14,745 --> 00:55:18,435

And so the, the essence of the

algorithm and its purpose is always

:

00:55:18,435 --> 00:55:20,445

available through the customizable.

:

00:55:20,805 --> 00:55:26,625

Um, but we're, we're, we're going into

development, uh, for this next like

:

00:55:26,625 --> 00:55:29,865

three months, which is great, you know,

'cause I'm gonna be on maternity leave.

:

00:55:29,865 --> 00:55:33,765

It's a lot easier for me to conduct

a survey than run a whole tool.

:

00:55:33,830 --> 00:55:35,265

So it's like smart.

:

00:55:35,595 --> 00:55:37,725

Uh, but that's the next thing.

:

00:55:37,725 --> 00:55:40,665

So I'm gonna be putting

out, uh, calls to action.

:

00:55:40,665 --> 00:55:43,155

Like, Hey, come to this mixer.

:

00:55:43,365 --> 00:55:49,365

Your, um, ticket to entry is

telling me how you feel about ai.

:

00:55:49,425 --> 00:55:54,465

Just raw, unfiltered, uh, you know,

basically your story, like how you feel.

:

00:55:54,780 --> 00:55:59,190

That is like a consented way to

use data to help develop a tool

:

00:55:59,190 --> 00:56:00,450

that's free for them to use.

:

00:56:00,750 --> 00:56:02,760

It's a, it's very much a community collab.

:

00:56:03,090 --> 00:56:07,140

So next steps for me is a lot of,

uh, field research, UX research,

:

00:56:07,200 --> 00:56:12,060

case studies, um, working with

interns and it's just gonna be really

:

00:56:12,420 --> 00:56:14,400

fun and beautiful and inclusive.

:

00:56:14,400 --> 00:56:15,390

Inclusive design.

:

00:56:15,390 --> 00:56:18,450

It's really co-design, community

co-design is what it's,

:

00:56:18,450 --> 00:56:19,380

Tony Tidbit: that is awesome.

:

00:56:19,500 --> 00:56:20,370

That is great.

:

00:56:20,610 --> 00:56:22,170

So final thoughts.

:

00:56:22,170 --> 00:56:24,690

What's the, what's the final thought

you wanna leave the audience?

:

00:56:25,530 --> 00:56:29,970

Erin Reddick: So my final thoughts is that

part of the reason that I am so fearless

:

00:56:29,970 --> 00:56:34,440

in the way that I approach being a

founder and, uh, trying out new things and

:

00:56:34,440 --> 00:56:38,430

experimenting with technology is because

I've gone through a lot of loss and I've

:

00:56:38,430 --> 00:56:42,990

had to start over and rebuild in almost

every aspect of my life, whether that's

:

00:56:42,990 --> 00:56:46,290

mental health, um, housing, financially.

:

00:56:46,350 --> 00:56:51,450

And so I want you to understand that

no matter what you've been through.

:

00:56:51,840 --> 00:56:57,150

It's always an opportunity to take what

you've learned and go to the next level.

:

00:56:57,150 --> 00:57:01,020

But don't be afraid to embrace that,

Hey, I've been through this before.

:

00:57:01,290 --> 00:57:02,700

I don't have to be afraid of it.

:

00:57:02,910 --> 00:57:03,270

Right?

:

00:57:03,480 --> 00:57:06,150

Like, I'm not afraid to apply

to a job and lose it 'cause I've

:

00:57:06,150 --> 00:57:07,380

already been laid off before.

:

00:57:07,800 --> 00:57:12,270

I'm less afraid to pay a high rent

because I've already downsized before.

:

00:57:12,660 --> 00:57:12,930

You know?

:

00:57:12,930 --> 00:57:16,080

So it's like, don't take loss.

:

00:57:16,140 --> 00:57:19,860

Um, and the hardships in life as

just bad things that happen that

:

00:57:19,860 --> 00:57:23,250

are holding you back because it's

really just giving an opportunity to

:

00:57:23,250 --> 00:57:25,140

be more fearless in your next move.

:

00:57:26,070 --> 00:57:27,150

Tony Tidbit: That is awesome.

:

00:57:27,240 --> 00:57:28,920

I love that advice.

:

00:57:28,920 --> 00:57:29,820

So true.

:

00:57:30,150 --> 00:57:32,760

How can a black executive

perspective help you, Aaron?

:

00:57:33,600 --> 00:57:37,140

Erin Reddick: Yeah, I mean, I,

I'm, I'm loving the conversation.

:

00:57:37,140 --> 00:57:41,100

I like the way that we were able to

discuss things and get into depth.

:

00:57:41,100 --> 00:57:44,850

So I feel like, you know, having

more opportunities to maybe

:

00:57:44,850 --> 00:57:47,220

bring in, I, I have this fantasy.

:

00:57:47,640 --> 00:57:51,390

Where I like doing something like

this, but people are calling in.

:

00:57:51,840 --> 00:57:52,650

Absolutely.

:

00:57:53,820 --> 00:57:55,860

Tony Tidbit: That's where

we're, that's where we're going.

:

00:57:55,860 --> 00:58:01,020

So you talked about where Chat, bt

BP, uh uh, chat Black, BGPT is going.

:

00:58:01,170 --> 00:58:02,400

That's where BEP is going.

:

00:58:02,400 --> 00:58:02,580

Right.

:

00:58:02,580 --> 00:58:03,660

We're gonna have people calling in.

:

00:58:03,660 --> 00:58:07,590

It's gonna be live and they'll be able

to give answers and stuff to that nature.

:

00:58:08,010 --> 00:58:08,700

Questions, I should say.

:

00:58:08,700 --> 00:58:08,880

That's so

:

00:58:08,880 --> 00:58:09,300

Erin Reddick: cool.

:

00:58:09,540 --> 00:58:10,350

That's so cool.

:

00:58:10,350 --> 00:58:15,870

I wanna, I wanna like be involved when you

guys do that because, or like whatever.

:

00:58:15,870 --> 00:58:18,780

If there's an episode that's pertaining

to something I could be helpful with,

:

00:58:19,410 --> 00:58:23,940

I wanna do that because I think we

need to hear more of our community

:

00:58:23,940 --> 00:58:25,470

and just give them these spaces.

:

00:58:25,485 --> 00:58:27,555

To ask questions and express themselves.

:

00:58:27,555 --> 00:58:28,485

So I'd love to, well,

:

00:58:28,485 --> 00:58:32,595

Tony Tidbit: look my sister, that is easy

to do and we're definitely gonna do that.

:

00:58:32,595 --> 00:58:34,335

So this is not the last

time we're gonna chat.

:

00:58:34,605 --> 00:58:39,165

Number two, we want to express our

gratitude for you to come on because

:

00:58:39,165 --> 00:58:40,455

you're busy, you're about to have a baby.

:

00:58:40,455 --> 00:58:41,055

You kidding me?

:

00:58:41,325 --> 00:58:44,205

Uh, you gotta go to the doctor

after this as well, right?

:

00:58:44,265 --> 00:58:46,785

So we wanna thank you for coming

on, investing some time on the

:

00:58:46,785 --> 00:58:48,765

Black Executive Perspective Podcast.

:

00:58:48,975 --> 00:58:50,235

We really appreciate it.

:

00:58:50,385 --> 00:58:55,635

You know, obviously I've been, um, uh,

on, uh, chat Black GPTI recommend that

:

00:58:55,635 --> 00:58:59,925

anyone watching, listening, please check

it out as she's gonna continue to develop.

:

00:58:59,925 --> 00:59:04,695

But more importantly, it's important

that you engage to educate and

:

00:59:04,695 --> 00:59:05,985

more importantly, have a space.

:

00:59:05,985 --> 00:59:09,855

So no matter what, our voices,

our stories won't be written away.

:

00:59:10,185 --> 00:59:16,575

So, Erin Reddick, CEO, founder of Chat,

black GPT, thank you for joining A

:

00:59:16,575 --> 00:59:18,465

Black Executive Perspective Podcast.

:

00:59:18,465 --> 00:59:20,115

So I think it's now time for.

:

00:59:20,509 --> 00:59:22,250

Tony's tidbit.

:

00:59:22,400 --> 00:59:28,790

Okay, and the tidbit Today, legacy lives

in every prompt, every reply, every

:

00:59:28,790 --> 00:59:31,880

decision to inject truth into the machine.

:

00:59:32,390 --> 00:59:33,650

It lives in every moment.

:

00:59:33,650 --> 00:59:40,279

We dare to be fully seen and heard inside

systems never meant to recognize us

:

00:59:40,670 --> 00:59:46,370

because when we cold with culture, speak

with memory, and innovate with intention,

:

00:59:46,730 --> 00:59:48,830

we're just not shaping technology.

:

00:59:49,315 --> 00:59:54,085

We're shaping time and you heard a

lot of that from our good friend,

:

00:59:54,475 --> 00:59:57,595

CEO Chat, G Black, GPT, Erin Reddick.

:

00:59:57,595 --> 01:00:00,805

So don't forget to check out

the next need to know by Dr.

:

01:00:00,805 --> 01:00:03,475

Nsenga Burton on A Black

Executive Perspective Podcast.

:

01:00:03,805 --> 01:00:04,120

Dr.

:

01:00:04,120 --> 01:00:08,245

Burton dives into the timely and

crucial topics that you don't have

:

01:00:08,245 --> 01:00:13,375

time to dive, tune, tune in to gain

her unique insights and deepen your

:

01:00:13,375 --> 01:00:16,045

understanding of the issues that matter.

:

01:00:16,045 --> 01:00:20,665

You don't want to miss it every Thursday

on A Black Executive Perspective Podcast.

:

01:00:20,725 --> 01:00:25,825

And don't forget to see our next round

table of Pull Up, Speak Up on on BEP.

:

01:00:25,825 --> 01:00:27,565

We're bold, unfiltered voices.

:

01:00:27,895 --> 01:00:32,155

Tackle today's most provocative

issues, sharp perspectives.

:

01:00:32,225 --> 01:00:37,205

Real talk and a call to action is not

just an episode, it's a revolution.

:

01:00:37,205 --> 01:00:41,765

So you don't wanna miss Pull Up, Speak Up

on A Black Executive Perspective Podcast.

:

01:00:41,915 --> 01:00:44,075

Now is our time for our call to action.

:

01:00:44,315 --> 01:00:47,075

If you are a regular

subscriber or watcher, BEP,

:

01:00:47,075 --> 01:00:48,605

you know what our mission is?

:

01:00:48,785 --> 01:00:50,765

This is your first time

listening or watching.

:

01:00:50,915 --> 01:00:56,915

Our goal is to eliminate all forms of

discrimination and to be able to do that.

:

01:00:57,065 --> 01:00:59,674

We've come up with an

acronym that we called Less.

:

01:01:00,265 --> 01:01:06,715

LESS, and we want everyone to incorporate

less because this is in your control.

:

01:01:06,925 --> 01:01:08,755

The L stands for learn.

:

01:01:08,965 --> 01:01:13,195

You want everyone to educate themselves

on racial and cultural nuances.

:

01:01:13,405 --> 01:01:17,755

Learn about people that you know how to

familiar with, understand their culture.

:

01:01:17,755 --> 01:01:18,865

It'll enlighten you.

:

01:01:18,865 --> 01:01:23,425

Then after you learn, you have the

letter E, which stands for empathy.

:

01:01:23,725 --> 01:01:27,145

Now, since you've learned and

you put yourself in their shoes,

:

01:01:27,355 --> 01:01:30,685

now you can understand their

perspectives and what they go through.

:

01:01:30,805 --> 01:01:33,565

And then the first S is for share.

:

01:01:33,775 --> 01:01:38,215

Now you wanna share what you've learned

to others to help enlighten them.

:

01:01:38,305 --> 01:01:39,655

And then the final S.

:

01:01:40,075 --> 01:01:41,155

Is stop.

:

01:01:41,245 --> 01:01:44,635

You wanna stop discrimination

as it walks in your path.

:

01:01:44,875 --> 01:01:49,375

So if Aunt Jenny or Uncle Joe says

something at the Sunday dinner table

:

01:01:49,555 --> 01:01:54,835

that's inappropriate, you say, aunt

Jenny, uncle Joe, we don't believe that.

:

01:01:54,835 --> 01:01:56,155

We don't say that.

:

01:01:56,155 --> 01:01:57,775

And you stop it right there.

:

01:01:57,955 --> 01:02:04,405

So if everyone can incorporate less LESS

will build a more fair, more understanding

:

01:02:04,405 --> 01:02:06,685

world and we'll all see the change.

:

01:02:06,720 --> 01:02:10,470

That we wanna see because

less will become more.

:

01:02:10,770 --> 01:02:13,589

Don't forget to continue to follow

A Black Executive Perspective

:

01:02:13,589 --> 01:02:18,720

Podcast on YouTube, Spotify, apple,

or wherever you get your podcast.

:

01:02:18,810 --> 01:02:23,040

And you can follow us on our social

channels of LinkedIn, X, YouTube,

:

01:02:23,100 --> 01:02:28,770

Instagram, Facebook, and TikTok at a

black exec for our fabulous guests.

:

01:02:29,110 --> 01:02:33,000

Erin Reddick, CEO, founder

of Chat, black GPT.

:

01:02:33,120 --> 01:02:34,439

I'm Tony Tidbit.

:

01:02:34,589 --> 01:02:35,850

We talked about it.

:

01:02:36,000 --> 01:02:38,669

We learned about it, we laughed about it.

:

01:02:38,819 --> 01:02:42,089

We're still gonna strive about

it, we're gonna thrive about it.

:

01:02:42,270 --> 01:02:43,109

We love you.

:

01:02:43,109 --> 01:02:43,950

And guess what?

:

01:02:44,040 --> 01:02:44,580

We're out

:

01:02:48,390 --> 01:02:51,029

BEP Narrator: A Black

Executive Perspective

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