Responsible AI

Intermediate

A discipline ensuring AI systems are fair, safe, transparent, privacy-preserving, and accountable throughout lifecycle.

Full Definition

A discipline ensuring AI systems are fair, safe, transparent, privacy-preserving, and accountable throughout lifecycle.

Keywords

ethics safety compliance

Domains

Governance & Ethics

Related Terms

Alignment related to

Ensuring model behavior matches human goals, norms, and constraints, including reducing harmful or deceptive outputs.

 Audit related to

Systematic review of model/data processes to ensure performance, fairness, security, and policy compliance.

 EU AI Act related to

European regulation classifying AI systems by risk.

 High-Risk AI System related to

AI used in sensitive domains requiring compliance.

 NIST AI RMF related to

US framework for AI risk governance.

 ISO/IEC 23894 related to

International AI risk standard.

 Model Governance related to

Policies and practices for approving, monitoring, auditing, and documenting models in production.

Concept Map

See how Responsible AI connects to other concepts.

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