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As data-driven systems are increasingly deployed at scale, ethical concerns have arisen around unfair and discriminatory outcomes for historically marginalized groups that are underrepresented in training data. In response, work around AI fairness an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cbbfa9958c0f61b34662f7ce1970d4d
http://arxiv.org/abs/2207.08037
http://arxiv.org/abs/2207.08037