> 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-ix-post-market-monitoring-information-sharing-and-market-surveillance-art.-72-94/75.md). # Art. 75 — Mutual assistance, market surveillance and control of general-purpose AI systems 1. Where an [AI system](https://headlesslaw.com/definitions/ai-act/ai-system/) is based on a [general-purpose AI model](https://headlesslaw.com/definitions/ai-act/general-purpose-ai-model/), and the model and the system are developed by the same [provider](https://headlesslaw.com/definitions/ai-act/provider/), the [AI Office](https://headlesslaw.com/definitions/ai-act/ai-office/) shall have powers to monitor and supervise compliance of that AI system with obligations under this Regulation. To carry out its monitoring and supervision tasks, the AI Office shall have all the powers of a [market surveillance authority](https://headlesslaw.com/definitions/ai-act/market-surveillance-authority/) provided for in this Section and Regulation (EU) 2019/1020. 2. Where the relevant market surveillance authorities have sufficient reason to consider general-purpose AI systems that can be used directly by deployers for at least one purpose that is classified as high-risk pursuant to this Regulation to be non-compliant with the requirements laid down in this Regulation, they shall cooperate with the AI Office to carry out compliance evaluations, and shall inform the Board and other market surveillance authorities accordingly. 3. Where a market surveillance authority is unable to conclude its investigation of the high-risk AI system because of its inability to access certain information related to the general-purpose AI model despite having made all appropriate efforts to obtain that information, it may submit a reasoned request to the AI Office, by which access to that information shall be enforced. In that case, the AI Office shall supply to the applicant authority without delay, and in any event within 30 days, any information that the AI Office considers to be relevant in order to establish whether a high-risk AI system is non-compliant. Market surveillance authorities shall safeguard the confidentiality of the information that they obtain in accordance with [Article 78](/mica.wtf/ai-act/chapter-ix-post-market-monitoring-information-sharing-and-market-surveillance-art.-72-94/78.md) of this Regulation. The procedure provided for in Chapter VI of Regulation (EU) 2019/1020 shall apply mutatis mutandis. --- # 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-ix-post-market-monitoring-information-sharing-and-market-surveillance-art.-72-94/75.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.