> 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.-6-49/20.md). # Art. 20 — Corrective actions and duty of information 1. Providers of high-risk AI systems which consider or have reason to consider that a high-risk [AI system](https://headlesslaw.com/definitions/ai-act/ai-system/) that they have placed on the market or put into service is not in conformity with this Regulation shall immediately take the necessary corrective actions to bring that system into conformity, to withdraw it, to disable it, or to recall it, as appropriate. They shall inform the distributors of the high-risk AI system concerned and, where applicable, the deployers, the [authorised representative](https://headlesslaw.com/definitions/ai-act/authorised-representative/) and importers accordingly. 2. Where the high-risk AI system presents a risk within the meaning of [Article 79(1)](/mica.wtf/ai-act/chapter-ix-post-market-monitoring-information-sharing-and-market-surveillance-art.-72-94/79.md) and the [provider](https://headlesslaw.com/definitions/ai-act/provider/) becomes aware of that risk, it shall immediately investigate the causes, in collaboration with the reporting [deployer](https://headlesslaw.com/definitions/ai-act/deployer/), where applicable, and inform the market surveillance authorities competent for the high-risk AI system concerned and, where applicable, the [notified body](https://headlesslaw.com/definitions/ai-act/notified-body/) that issued a certificate for that high-risk AI system in accordance with [Article 44](/mica.wtf/ai-act/chapter-iii-high-risk-ai-systems-art.-6-49/44.md), in particular, of the nature of the non-compliance and of any relevant corrective action taken. --- # 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.-6-49/20.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.