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iclr-blogposts.github.io | ||
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wp.sigmod.org
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| | | | | [AI summary] The text presents a framework for auditing fairness of algorithmic recourse, introducing multiple fairness definitions and an efficient auditing mechanism. It highlights the importance of fairness in algorithmic decisions and the challenges in achieving it. The work is part of a series of posts, with additional references to related research and publications. | |
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sebastianraschka.com
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| | | | | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs). | |
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leonfurze.com
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| | | | | This is the third post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on Environmental concerns, click here. The concept of [...] | |
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www.cambridge.org
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