Feed one model's output to another and request harsh critique. Disagreements expose weak points.

Before people-affecting decision, identify 3 potential biases and create a shield for each.

Learn 4 signals that reveal the model invented info instead of citing documented fact.

Every AI reflects training-data biases. Check: gender, culture, economic class.

Before a big decision, ask AI to surface your biases through questions (not give the answer), then log the decision and prediction for later review.