ChatGPT gives answers — but should we always trust them?
In this video, I explore 4 ethical problems with ChatGPT and other LLMs, including:
✅ How LLMs give confident but flawed answers
✅ Why bias and misinformation are baked into training data
✅ The danger of hallucinations and factual errors
✅ The “lab coat effect” — why people blindly trust AI
I also share a simple classroom strategy I use: the AI Mistake Board, to teach students critical thinking and epistemic vigilance when using tools like ChatGPT, Claude, or Gemini.
If you’re a teacher navigating AI in the classroom, this is your starter guide to AI literacy, student safety, and ethical tech use.
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0:00 - Introduction: Ethical Issues of LLMs
0:48 - Issue 1: They give answers
1:45 - Issue 2: They perpetuate bias
2:39 - Issue 3: They make mistakes
3:27 - Issue 4: They wear 'lab coats'
4:40 - Conclusion
5:25 - The solution - What can teachers do.