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.