Better questions.
Better AI.
Responsible AI is an ongoing practice: understand the limits, protect people, and keep humans accountable.
01Accuracy+
How will we know it works?
Evaluate outputs against reliable evidence. Test with realistic examples and plan for mistakes. Confidence in the wording is not evidence of correctness.
02Fairness+
Who could be left out?
Consider whether the data and evaluation cover different groups and contexts. Compare outcomes and investigate unequal performance.
03Privacy+
What information is necessary?
Minimize sensitive inputs, understand how data is handled, and get appropriate permission before sharing information.
04Accountability+
Who owns the decision?
Make responsibility clear, communicate where AI is used, and provide a way for people to question or correct outcomes.
Would you trust
this answer?
An AI gives you a detailed answer with an impressive-sounding source. What is the best next step?
Curiosity is a good beginning.
Understand the mechanism. Try a useful application. Question the result. AI literacy grows through all three.
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