Ethics, Safety, and Bias
Neural nets learn what they see. If training data is biased, the model may be biased. Key ideas:
Dataset curationandevaluation on diverse slices.Explainabilitytools (feature attributions, probes) to audit behavior.Safety: avoid harmful outputs; consider rate limits, human review, domain constraints.


