What does it look like to bring AI literacy into your program—and have it actually land with your students?

In this episode of the Black-Liberation.Tech Podcast, Dr. Renée Jordan reflects on her first in-person Janiyah GPT workshop at the BYTES + AI Summit during the Atlanta Science Festival—an experience made possible through the invitation of Dr. Natalie King.

This isn’t just a recap. It’s a real-time example of what happens when intentional, culturally grounded AI design meets students who are ready to engage, question, and create.

If you’re an educator, program director, nonprofit leader, or institutional partner responsible for preparing students for a rapidly changing, technology-driven world—this episode was created with you in mind.

Because the question isn’t whether AI belongs in your programming. It’s whether your approach is effective, affirming, and built to meet the moment.

Inside the Episode

• What an AI literacy workshop looks like when students move from using AI to thinking with it?
• How students quickly identify the difference between generic tools and culturally responsive design?
• What happens when learners feel seen—and how that impacts engagement and confidence?
• A practical prompt that strengthens critical thinking across disciplines: “Is there anything important you might be leaving out?”

A Moment That Captures the Impact

One student described the experience by saying: “It’s like she has more spirit…I don’t know how to explain it.”

That moment wasn’t about novelty. It was about recognition.

When students experience AI that reflects identity, affirms voice, and responds with intention—they don’t just participate.

They lean in.

Why This Matters for You

You’re not just exploring new tools. You’re responsible for creating meaningful learning experiences for others.

And you already know:

• Access alone isn’t enough
• Students need guidance, structure, and relevance
• Implementation takes time, strategy, and trusted support

This episode offers a glimpse into what’s possible when those pieces come together—without adding more complexity to your plate.

Key Takeaway

Janiyah GPT isn’t just a tool—it’s a facilitation partner.

It supports you in:

• Delivering engaging, culturally responsive AI learning experiences
• Scaling impact across your programs or organization
• Helping students think critically, not just interact passively

Resources & Next Steps

Curious what this could look like in your space? Explore the workshop experience: https://www.black-liberation.tech/intro-workshop.html

Ready to bring this to your students or community? Schedule a conversation: https://calendly.com/renee-jordan-nuance/

Reflect as a leader:

“What would it look like to introduce AI in a way that not only teaches skills—but affirms identity and expands possibility?”

Part 4 — Janiyah GPT Intro Workshop (Final Session)

In the final episode of the Janiyah GPT Intro Workshop series, we explore how to question AI directly by asking:

"What are the limitations or potential biases in the response you just gave me?"

This simple step transforms AI from a tool for quick answers into a tool for critical thinking, exploration, and agency.

The goal of this workshop is not to master AI in one day. It is to begin building a thoughtful relationship with AI — one based on curiosity, verification, and responsibility.

In this episode we cover:

• Bias awareness in AI career suggestions
• The role of questioning AI to uncover limitations and blind spots

This conversation also highlights an important takeaway:

AI literacy is not just about getting answers. It’s about learning how to question the answers.

The workshop closes with reflection prompts designed to help participants turn inspiration into action by identifying:

• One new question they have about AI
• One action they will take this month
• One skill they want to develop moving forward

Communities deserve to shape technology — not just respond to it. AI literacy is one step toward that goal.

In Part 3 of the Janiyah GPT Workshop Walkthrough, we explore a powerful truth:

AI is not magic. It mirrors the clarity you bring to it.

In this episode, we walk through a live demo comparing two prompts:

1. A vague career question
2. A detailed, identity-centered, values-driven question

The difference? Transformational.

When the prompt was broad — “I like Biology, Technology, and Art. What jobs fit me?”

Janiyah suggested strong interdisciplinary careers like:

• Biomedical Illustrator
• UX Designer in Health & Biotech
• Medical Animation
• Environmental Data Artist

But when the prompt became specific and culturally grounded —

“I'm interested in Human Anatomy & Physiology, AI-enhanced imagery, Afro-Futurism, and supporting grassroots movements…”

The output shifted from career suggestions to cultural architecture.

Emerging roles included:

• Community Health Tech Story Architect
• Afro-Futurist Bio-Data Visualizer

AI is not here to define you.

It is here to respond to the clarity, culture, and conviction you bring.

When you get specific, you don’t just get better answers.

You build futures that reflect you.