> For the complete documentation index, see [llms.txt](https://www.mica.wtf/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://www.mica.wtf/mica.wtf/ai-act/chapter-iii-high-risk-ai-systems-art.-6-49/8.md). # Art. 8 — Compliance with the requirements 1. High-risk AI systems shall comply with the requirements laid down in this Section, taking into account their [intended purpose](https://headlesslaw.com/definitions/ai-act/intended-purpose/) as well as the generally acknowledged state of the art on AI and AI-related technologies. The risk management system referred to in [Article 9](/mica.wtf/ai-act/chapter-iii-high-risk-ai-systems-art.-6-49/9.md) shall be taken into account when ensuring compliance with those requirements. 2. Where a product contains an [AI system](https://headlesslaw.com/definitions/ai-act/ai-system/), to which the requirements of this Regulation as well as requirements of the Union harmonisation legislation listed in Section A of Annex I apply, providers shall be responsible for ensuring that their product is fully compliant with all applicable requirements under applicable Union harmonisation legislation. In ensuring the compliance of high-risk AI systems referred to in paragraph 1 with the requirements set out in this Section, and in order to ensure consistency, avoid duplication and minimise additional burdens, providers shall have a choice of integrating, as appropriate, the necessary testing and reporting processes, information and documentation they provide with regard to their product into documentation and procedures that already exist and are required under the Union harmonisation legislation listed in Section A of Annex I. --- # 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, and the optional `goal` query parameter: ``` GET https://www.mica.wtf/mica.wtf/ai-act/chapter-iii-high-risk-ai-systems-art.-6-49/8.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.