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pro vyhledávání: '"Spitzer, Elena"'
As calls for fair and unbiased algorithmic systems increase, so too does the number of individuals working on algorithmic fairness in industry. However, these practitioners often do not have access to the demographic data they feel they need to detec
Externí odkaz:
http://arxiv.org/abs/2011.02282
Autor:
Mitchell, Margaret, Wu, Simone, Zaldivar, Andrew, Barnes, Parker, Vasserman, Lucy, Hutchinson, Ben, Spitzer, Elena, Raji, Inioluwa Deborah, Gebru, Timnit
Publikováno v:
FAT* '19: Conference on Fairness, Accountability, and Transparency, January 29--31, 2019, Atlanta, GA, USA
Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. In order to clarify the intended use cases of machine learning models and minimize their usage i
Externí odkaz:
http://arxiv.org/abs/1810.03993
Autor:
Spitzer, Elena
Publikováno v:
Fundamental Issues of Artificial Intelligence; 2016, p423-439, 17p
