This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
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Updated
Oct 17, 2022
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
Free and open source code of the Tournesol platform. Learn more about the project on our Wiki https://wiki.tournesol.app/ or meet the community on Discord https://discord.gg/WvcSG55Bf3
List of references about Machine Learning bias and ethics
Courses on Kaggle
An Introduction to Transparent Machine Learning
Fairness in data, and machine learning algorithms is critical to building safe and responsible AI systems from the ground up by design. Both technical and business AI stakeholders are in constant pursuit of fairness to ensure they meaningfully address problems like AI bias. While accuracy is one metric for evaluating the accuracy of a machine le…
Social and Ethical Issues in Information Technology - material and project
Stash of some of the most potent research papers, blogs and videos on AI which I liked.
We aim at developing a framework to promote the integration of CDR principles in the legal sector combining the LLI digital ethics code with a practical ethical legal innovation roadmap.
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