Responsible AI
Plain-language explanation
A broad governance concept for developing, deploying, and using AI in ways that address risks such as safety, security, accountability, transparency, privacy, fairness, reliability, and harmful bias.
Why It Matters
Responsible AI gives organizations a way to connect technical performance with human, organizational, legal, and societal impacts.
Source Context
There is no single universal definition of Responsible AI. Different standards bodies, regulators, companies, and research organizations emphasize different characteristics.
In Practice
AuditDIFF uses Responsible AI as a broad teaching term. When a specific law, standard, or framework controls the meaning of a requirement, that source should take precedence over this general explanation.