AI is powerful — but power comes with responsibility. Explore the ethical challenges of AI, and learn how to use it honestly and thoughtfully.
AI systems are already making consequential decisions — who gets a loan, which résumé gets seen, whether a medical image looks abnormal. When these systems are flawed or misused, real people are harmed.
Understanding AI ethics helps you:
AI learns from data — and if that data reflects historical inequalities, the AI will too. This is called algorithmic bias.
Studies showed some facial recognition systems had error rates up to 34% for darker-skinned women vs. 0.8% for lighter-skinned men.
Amazon scrapped an AI recruiting tool in 2018 after it penalized résumés that included the word "women's" (e.g., women's chess club).
AI diagnostic tools trained mostly on data from one demographic group may perform poorly for underrepresented groups.
Key takeaway: AI is only as fair as the data it learns from. Diverse, representative data — and human oversight — are essential.
AI models require vast amounts of data to train. This raises serious questions about where that data comes from and who controls it.
Using AI in school is a nuanced topic. The line between legitimate assistance and academic dishonesty depends on your school's policies and the nature of the task.
Rule of thumb: If you wouldn't feel comfortable telling your teacher exactly how you used AI on an assignment, reconsider your approach. Transparency builds trust.
You are part of the first generation to grow up with powerful AI as an everyday tool. That comes with both privilege and responsibility.
AI can hallucinate facts. Always verify important information from authoritative sources.
Disclose when you've used AI in your work. Transparency is a sign of integrity, not weakness.
Consider the impact of AI on society, jobs, and the environment — not just your personal workflow.
1. A student uses ChatGPT to write an entire essay and submits it as their own work. This is:
2. An AI hiring tool has a 20% higher rejection rate for women. This is an example of:
3. What should you do when AI gives you a surprising factual claim?
4. Which approach to AI in school is most consistent with academic integrity?
Your progress is saved automatically.