TalentJR apps
A model learns only from its data. If the data is one-sided — only adult voices, only ripe mangoes, stories where every doctor is a man — the model learns that one-sided pattern and works badly or unfairly for others. This is called bias. Varied, balanced data and testing on many different groups help make AI fairer.
✓ You passed this lesson’s test.
Fair data, fairer AI — “a model copies the patterns in its data — so the data must include everyone”
Use it for: Thinking about whether an AI tool works equally well for everyone who uses it.
Check: Try it: for a “which fruit is this?” app, list 5 kinds of photos you would add so it works for every fruit and every kitchen ✓
▶ Watch it animatedWork it out in your head or on paper, type the answer and press Check. Stuck? Press “Show me how”.
Right: 0 · Tried: 0
20 questions. Check each answer, then go to the next one. Get 16 or more right to pass.
🏅 Sign in with Google to earn the ⚖️ Bias Buster badge when you pass — and a certificate when you finish all 8 lessons of Part 1 · What AI is. You can still take the test without signing in.
Why does it work? When should you use it? Ask in English, मराठी or हिंदी.
Sign in with Google to ask Free — 20 questions a day.
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