What is Responsible AI?

Developing and deploying AI systems that are fair, transparent, accountable, and safe.

Responsible AI is the practice of developing and deploying artificial intelligence systems in ways that are ethical, fair, transparent, accountable, and safe. It encompasses bias detection and mitigation, explainability (users understand how AI makes decisions), privacy protection, security, human oversight, and environmental sustainability. As organizations scale AI adoption, responsible AI frameworks become essential for maintaining trust.

Related terms

Data Ethics

Principles guiding the responsible collection, processing, and use of data.

AI Readiness

An organization's preparedness to successfully adopt and deploy artificial intelligence.

Generative AI

AI systems that create new content — text, images, code, music — based on training data patterns.

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