Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Andrus, McKane"'
Autor:
Stray, Jonathan, Halevy, Alon, Assar, Parisa, Hadfield-Menell, Dylan, Boutilier, Craig, Ashar, Amar, Beattie, Lex, Ekstrand, Michael, Leibowicz, Claire, Sehat, Connie Moon, Johansen, Sara, Kerlin, Lianne, Vickrey, David, Singh, Spandana, Vrijenhoek, Sanne, Zhang, Amy, Andrus, McKane, Helberger, Natali, Proutskova, Polina, Mitra, Tanushree, Vasan, Nina
Publikováno v:
ACM Trans. Recomm. Syst. 2, 3, Article 20 (September 2024), 57 pages
Recommender systems are the algorithms which select, filter, and personalize content across many of the worlds largest platforms and apps. As such, their positive and negative effects on individuals and on societies have been extensively theorized an
Externí odkaz:
http://arxiv.org/abs/2207.10192
Autor:
Andrus, McKane, Villeneuve, Sarah
Most proposed algorithmic fairness techniques require access to data on a "sensitive attribute" or "protected category" (such as race, ethnicity, gender, or sexuality) in order to make performance comparisons and standardizations across groups, howev
Externí odkaz:
http://arxiv.org/abs/2205.01038
Despite interest in communicating ethical problems and social contexts within the undergraduate curriculum to advance Public Interest Technology (PIT) goals, interventions at the graduate level remain largely unexplored. This may be due to the confli
Externí odkaz:
http://arxiv.org/abs/2102.04255
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
As machine learning is increasingly deployed in high-stakes contexts affecting people's livelihoods, there have been growing calls to open the black box and to make machine learning algorithms more explainable. Providing useful explanations requires
Externí odkaz:
http://arxiv.org/abs/2007.05408
It has become commonplace to assert that autonomous agents will have to be built to follow human rules of behavior--social norms and laws. But human laws and norms are complex and culturally varied systems, in many cases agents will have to learn the
Externí odkaz:
http://arxiv.org/abs/1811.01267