AI Accountability
What is AI Accountability?
The principle that organizations and individuals should be answerable for the outcomes and impacts of AI systems they develop or deploy.
Terms that appear alongside ai accountability
Each of these is named in at least one of the same controls as ai accountability. The number is how many controls name both.
- accountability 7 shared controls
- governance 7 shared controls
- ai governance 5 shared controls
- governance framework 5 shared controls
Frameworks that govern ai accountability
What the standards actually require on ai accountability
Requirements naming ai accountability across 2 standards, quoted from the control text.
Risks from unclear accountability structures for AI system outcomes, including challenges in assigning responsibility across complex AI value chains.
ISO23894-A.8 · AI Accountability and Governance →Per UK AI: accountability + governance + Contestability and Redress + cooperation with AI Safety Institute (AISI) + AI Standards Hub.
UKAI-5 · Governance, Accountability, Contestability, AISI →Questions people ask about ai accountability
What is AI Accountability?
Why is AI Accountability important for compliance?
Which compliance frameworks address AI Accountability?
Where can I learn more about AI Accountability?
See how AI Accountability applies across compliance frameworks
Our platform maps 686 frameworks with 311K cross-framework control mappings. Explore how this concept is addressed across standards.