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pro vyhledávání: '"Keyes, Os"'
Personal names simultaneously differentiate individuals and categorize them in ways that are important in a given society. While the natural language processing community has thus associated personal names with sociodemographic characteristics in a v
Externí odkaz:
http://arxiv.org/abs/2405.17159
Autor:
Keyes, Os, author
Publikováno v:
Feminist AI : Critical Perspectives on Algorithms, Data, and Intelligent Machines, 2023.
Externí odkaz:
https://doi.org/10.1093/oso/9780192889898.003.0017
Online dating and hookup platforms have fundamentally changed people's day-to-day practices of sex and love-but exist in tension with older social and medicolegal norms. This is particularly the case for people with HIV, who are frequently stigmatize
Externí odkaz:
http://arxiv.org/abs/2006.04882
The HCI community has worked to expand and improve our consideration of the societal implications of our work and our corresponding responsibilities. Despite this increased engagement, HCI continues to lack an explicitly articulated politic, which we
Externí odkaz:
http://arxiv.org/abs/1908.06167
he ethical implications of algorithmic systems have been much discussed in both HCI and the broader community of those interested in technology design, development and policy. In this paper, we explore the application of one prominent ethical framewo
Externí odkaz:
http://arxiv.org/abs/1908.06166
Autor:
Bennett, Cynthia L., Keyes, Os
Work integrating conversations around AI and Disability is vital and valued, particularly when done through a lens of fairness. Yet at the same time, analyzing the ethical implications of AI for disabled people solely through the lens of a singular i
Externí odkaz:
http://arxiv.org/abs/1908.01024
Autor:
Keyes, Os1, Creel, Kathleen A.2,3
Publikováno v:
Feminist Philosophy Quarterly. 2022, Vol. 8 Issue 3/4, p1-25. 25p.
Akademický článek
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Akademický článek
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Autor:
Halfaker, Aaron, Keyes, Os, Kluver, Daniel, Thebault-Spieker, Jacob, Nguyen, Tien, Shores, Kenneth, Uduwage, Anuradha, Warncke-Wang, Morten
Session identification is a common strategy used to develop metrics for web analytics and behavioral analyses of user-facing systems. Past work has argued that session identification strategies based on an inactivity threshold is inherently arbitrary
Externí odkaz:
http://arxiv.org/abs/1411.2878