> For the complete documentation index, see [llms.txt](https://documentations.seclea.com/iso-ai-risk-management/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://documentations.seclea.com/iso-ai-risk-management/ai-expertise-aie.md). # AI Expertise (AIE) Artificial intelligence systems and their development are distinct from more conventional approaches to software. It is necessary to have a selection of dedicated specialists who have experience in evaluating, developing, and implementing AI systems. These specialists should have interdisciplinary skill sets. It is the responsibility of organisations to make certain that individuals possessing such knowledge are involved in the design and specification of AI systems. The end consumers of AI systems should be included in the expertise of artificial intelligence. Users should have a sufficient comprehension of how the AI system functions and be empowered to detect and override any decisions or outputs that are determined to be incorrect by the system. Controls related to this risk category are listed as below: * AIE 01 - Inter-disciplinary AI Stakeholders * AIE 02 - Stakeholder Engagements * AIE 03 - Trustworthy AI Characteristics Definition * AIE 04 - Trustworthy AI Characteristics * AIE 05 - AI Risk Management Training * AIE 06 - External Stakeholder Policies * AIE 07 - Stakeholder Feedback Integration --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://documentations.seclea.com/iso-ai-risk-management/ai-expertise-aie.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.