
Note sull'episodio
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.
Parole chiave
Digital Literacy
AI Literacy
Digital Literacies in Action
Ethical AI use
AI literacy education
AI bias awareness
AI bias
AI and stereotypes
AI hallucinations
AI literacy for educators
AI and equity
Scholarship scams
AI verification framework
Digital literacy for families
