AI Explainability
What is AI Explainability?
The ability to understand and describe how an AI model reaches its decisions or predictions, supporting transparency, trust, and regulatory compliance.
Frameworks that govern ai explainability
What the standards actually require on ai explainability
Requirements naming ai explainability across this standard, quoted from the control text.
Firms must be able to give clients on request written information on the type of AI system used, its basic workings and limitations, the due diligence carried out before use, how its risks are identified and managed, and the reliability decisions made about it...
rics-rules-of-conduct-and-global-professional-standards::AI-4.4 · AI: explainability information on request →Questions people ask about ai explainability
What is AI Explainability?
The ability to understand and describe how an AI model reaches its decisions or predictions, supporting transparency, trust, and regulatory compliance.
Why is AI Explainability important for compliance?
AI Explainability is a key concept in AI and Technology. Understanding ai explainability helps organizations meet regulatory requirements, reduce risk, and demonstrate due diligence during audits. Our compliance platform maps 1,016 frameworks with 316K cross-framework control mappings.
Which compliance frameworks address AI Explainability?
AI Explainability appears in the requirement text of RICS Rules of Conduct and Global Professional Standards. Across these standards we have identified 1 control that names it directly, each linked to the control text on the compliance platform.
Where can I learn more about AI Explainability?
Explore our compliance framework pages to see how ai explainability applies across different standards and regulations. Our implementation guides provide step-by-step guidance, and the compliance platform offers AI-powered analysis of how this concept maps across 1,016 frameworks.
See how AI Explainability applies across compliance frameworks
Our platform maps 1,016 frameworks with 316K cross-framework control mappings. Explore how this concept is addressed across standards.
Written and maintained by Gerard Blokdyk, The Art of Service.