AI Ethics
The field of study and practice concerned with ensuring AI systems are developed and used in ways that are fair, transparent, accountable, and beneficial to society.
Related terms
- Responsible AI
An approach to developing and deploying AI systems that prioritizes ethical considerations, fairness, transparency, privacy, and accountability throughout the AI lifecycle.
- Bias Detection
The process of identifying unfair or discriminatory patterns in AI model outputs or training data. Essential for ensuring AI systems treat all groups equitably.
Also referenced: Explainability.
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Where this fits
AI Ethics is part of the Ethics & Governance vocabulary used in the Generative AI Maturity Framework. See the full glossary for the complete set of 149 defined terms, or take the free maturity assessment to see where your organisation stands.