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pro vyhledávání: '"Huish, Nathaniel"'
Autor:
Blakeney, Cody, Atkinson, Gentry, Huish, Nathaniel, Yan, Yan, Metris, Vangelis, Zong, Ziliang
Algorithmic bias is of increasing concern, both to the research community, and society at large. Bias in AI is more abstract and unintuitive than traditional forms of discrimination and can be more difficult to detect and mitigate. A clear gap exists
Externí odkaz:
http://arxiv.org/abs/2110.04397
In recent years the ubiquitous deployment of AI has posed great concerns in regards to algorithmic bias, discrimination, and fairness. Compared to traditional forms of bias or discrimination caused by humans, algorithmic bias generated by AI is more
Externí odkaz:
http://arxiv.org/abs/2106.07849