How do you receive critical feedback—without losing yourself in the process?

In this first episode of a 3-part Q&A series, Dr. Renée Jordan reflects on a pivotal moment from her doctoral journey: navigating major revisions after her prospectus defense while staying grounded in her purpose.

This conversation explores the tension between growth and self-preservation—especially for women and girls navigating academic and professional spaces.

You’ll learn:

• How to separate structural feedback from identity-level compromise
• Why not all feedback is meant to be accepted
• How to refine your work without erasing your voice
• A mindset shift that turns feedback into strategy—not self-doubt

This episode is for anyone learning how to evolve their work while staying aligned with who they are.

Because growth should expand your voice—not silence it.

What does it take to design an AI workshop that goes beyond exposure—and actually builds student thinking?

In this episode of the Black-Liberation.Tech Podcast, Dr. Renée Jordan breaks down the how behind her Janiyah GPT workshop model—offering a behind-the-scenes look at how students learn to use AI as a thinking partner, not just a tool.

If you’re an educator, program director, nonprofit leader, or community-based organization responsible for delivering meaningful learning experiences, this episode gives you a practical framework you can apply immediately.

Because the challenge isn’t introducing AI. It’s designing experiences that are engaging, culturally relevant, and cognitively rigorous—without overwhelming your team.

Inside This Episode

• How to teach students to use AI as a thinking partner (not just for answers)
• A simple framework for writing stronger prompts: Context + Data + Action
• How to use Bloom’s Taxonomy to deepen student thinking with AI
• Why culturally responsive AI design increases engagement, confidence, and belonging
• Practical strategies for designing AI workshops that are:
  • Hands-on
  • Interactive
  • Reflective
  • Scalable across programs

Why This Matters for You

You’re not just introducing new technology. You’re responsible for ensuring that learning experiences:

• Build real skills
• Reflect the identities of the students you serve
• Prepare them for a rapidly evolving future

This episode offers a framework that helps you do that—without starting from scratch.

Key Takeaway

Strong AI workshops aren’t about the tool.

They’re about how you structure thinking.

And when you combine:

• Clear prompt design
• Cognitive scaffolding
• Cultural relevance

You create learning experiences that stick.

Resources & Next Steps

Want to bring this framework to your students or staff? Explore the full workshop: https://www.black-liberation.tech/intro-workshop.html

Prefer guided implementation? Book a conversation: https://calendly.com/renee-jordan-nuance/

Reflect as a leader:

“How are we currently using AI—and are we developing thinkers, or just users?”

• How can students use AI as a thinking partner?
• How do you design an AI workshop for students?
• What makes an AI literacy program effective?
• How can educators teach prompt engineering?
• Why is culturally responsive AI important in education?
• How do you use Bloom’s Taxonomy with AI?

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.

In Part 2 of the Janiyah GPT Intro Workshop series, we move beyond using AI — and into questioning it.

This episode walks through two powerful prompts:

✔ How do we prevent AI from reinforcing stereotypes in STEM?

✔ What are AI’s limitations when giving scholarship and college information?

If you’ve ever thought:

• “What if AI leaves out people like me?”
• “Can I trust this scholarship information?”
• “How do I verify without wasting time?”
• “Is AI repeating the same systemic biases we’re trying to break?”

This episode is for you.

We explore:

• How bias sneaks into STEM career suggestions
• Representation audits for facilitators and parents
• Deficit vs. asset framing
• Interdisciplinary career pathways
• Scholarship verification frameworks
• How to avoid AI hallucinations
• How to question AI confidently and strategically

AI is not neutral. And literacy is not passive.

For Latinas, Afro-Latinas, Black women and girls — verification is protection. And protection is strategy.

In this episode of Black-Liberation.Tech, we introduce Janiyah GPT — an AI Literacy & Career Coaching Co-Pilot designed to support Latinas, Afro-Latinas, Black women and girls in using artificial intelligence as a tool for empowerment, not replacement.

This is not about becoming a coder overnight.

This is about learning how to:

• Ask better questions
• Protect your data
• Recognize bias
• Align technology with your values
• Design futures where you see yourself represented

We walk through:

• What AI literacy actually means
• Why AI is shaping hiring, admissions, and media
• How to use prompts strategically
• Why questioning AI matters
• A safety framework: Verify → Think → Protect
• Lightweight prompts and Deep Dive prompts for real-world exploration

If you’ve ever wondered:

• “Am I behind in AI?”
• “How do I use this without losing my voice?”
• “Where do I fit in tech?”
• “How do I prepare without burning out?”

This episode is for you.

AI is not magic. But with clarity and strategy, it can be powerful.

What do you do when it feels like everyone else already knows what they’re doing—and you’re still figuring it out?

In this episode of the Black-Liberation.Tech podcast, Dr. Renée Jordan answers questions for learners who are curious, self-directed, resourceful, and often learning outside traditional structures.

We talk about:

• What it really means to feel “behind” (and why you probably aren’t)
• How to use tools like AI and the internet as learning partners—not shortcuts
• Staying motivated when there are no deadlines, grades, or feedback
• Advocating for yourself when institutions aren’t meeting your needs
• Turning DIY learning into portfolios, projects, and proof you can show

If you’ve ever taught yourself something because the system didn’t, this episode is for you.

You’re not cheating. You’re not behind. You’re building skills the system doesn’t always know how to measure—yet.

Continue the conversation at Black-Liberation.Tech, and leave your questions or learning stories in the comments.