The standard specifies a methodology and criteria for assessing the trustworthiness of Artificial Intelligence (AI) systems. It establishes scoring mechanisms for key principles underlying AI confidence, while accounting for interdependencies between these principles. The criteria encompass the evaluation of technical attributes, including robustness and safety, and socio-ethical properties, such as transparency, accountability, human agency and oversight, privacy, and fairness. These criteria are designed for application at multiple stages of the AI supply chain, from development through deployment and operation, and are applicable to both individual AI components and integrated, complete systems.
- Standard Committee
- BOG/CAG - Entity Collaborative Activities Governance Board
- Status
- Active PAR
- PAR Approval
- 2026-06-04
Working Group Details
- Society
- Society
- IEEE SA Board of Governors
- Standard Committee
- BOG/CAG - Entity Collaborative Activities Governance Board
- Working Group
-
TOAIWG - Trustworthiness of Artificial Intelligence
- IEEE Program Manager
- Soo Kim
Contact Soo Kim - Working Group Chair
- Jean Philippe Faure
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