# ARC03 - Continuous Learning Feedback Loop Assessment AI applications that continue to learn after being placed on the market or put into service shall be developed in such a way as to ensure that possibly biased outputs due to outputs used as input for future operations (‘feedback loops’) are duly addressed with appropriate mitigation measures. For AI systems that continue to learn after being placed on the market. Upload a document detailing the mitigation measures implemented to address the risks of feedback loops causing negative outcomes, particularly due to introduced bias. --- # Agent Instructions: 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/oecd-ai-principles/4.-accuracy-robustness-and-cybersecurity-arc/arc03-continuous-learning-feedback-loop-assessment.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.