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.