
For the Girlies Who Double-Check: AI Bias, Scholarships & Strategy
From Black-Liberation.Tech by Renée Jordan, Ph.D.
February 25, 2026 · 21 min · Season 7 · Episode 6
About this episode
This episode explores AI bias in STEM and scholarship verification, emphasizing the importance of questioning AI's reliability and representation.
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.
People in this episode
Host: Renée Jordan, Ph.D.
Topics covered
- AI Bias
- Scholarships
- STEM
- Career Pathways
- Verification
- Representation
Keywords
- AI Bias
- Scholarships
- STEM
- Verification
- Representation
- Career Pathways
- Systemic Biases
Mentioned in this episode
Organizations: Janiyah GPT
Places: STEM
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