Safety & Ethics

Alignment, bias, privacy and governance.

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B

Bias

In AI ethics, bias refers to systematic prejudices or errors in machine learning systems that produce unfair or discriminatory outcomes for particular groups of people.

G

Guardrails

Guardrails are rules, filters, and constraints added to AI systems to keep their outputs safe, ethical, and within acceptable boundaries.