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pro vyhledávání: '"Kacianka, Severin"'
Machine Learning (ML) and 'Artificial Intelligence' ('AI') methods tend to replicate and amplify existing biases and prejudices, as do Robots with AI. For example, robots with facial recognition have failed to identify Black Women as human, while oth
Externí odkaz:
http://arxiv.org/abs/2402.08242
Publikováno v:
In 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT 22). ACM, New York, NY, USA, 743-756
Stereotypes, bias, and discrimination have been extensively documented in Machine Learning (ML) methods such as Computer Vision (CV) [18, 80], Natural Language Processing (NLP) [6], or both, in the case of large image and caption models such as OpenA
Externí odkaz:
http://arxiv.org/abs/2207.11569