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pro vyhledávání: '"Kroll, Joshua"'
Many stakeholders struggle to make reliances on ML-driven systems due to the risk of harm these systems may cause. Concerns of trustworthiness, unintended social harms, and unacceptable social and ethical violations undermine the promise of ML advanc
Externí odkaz:
http://arxiv.org/abs/2302.02972
Autor:
Jatho III, Edgar W., Mailloux, Logan O., Rismani, Shalaleh, Williams, Eugene D., Kroll, Joshua A.
Governments, industry, and academia have undertaken efforts to identify and mitigate harms in ML-driven systems, with a particular focus on social and ethical risks of ML components in complex sociotechnical systems. However, existing approaches are
Externí odkaz:
http://arxiv.org/abs/2211.04602
Autor:
Rismani, Shalaleh, Shelby, Renee, Smart, Andrew, Jatho, Edgar, Kroll, Joshua, Moon, AJung, Rostamzadeh, Negar
Inappropriate design and deployment of machine learning (ML) systems leads to negative downstream social and ethical impact -- described here as social and ethical risks -- for users, society and the environment. Despite the growing need to regulate
Externí odkaz:
http://arxiv.org/abs/2210.03535
Autor:
Kroll, Joshua A.
Accountability is widely understood as a goal for well governed computer systems, and is a sought-after value in many governance contexts. But how can it be achieved? Recent work on standards for governable artificial intelligence systems offers a re
Externí odkaz:
http://arxiv.org/abs/2101.09385
Publikováno v:
Proc. ACM Hum.-Comput. Interact. 3, CSCW, Article 119 (November 2019)
The explosion in the use of software in important sociotechnical systems has renewed focus on the study of the way technical constructs reflect policies, norms, and human values. This effort requires the engagement of scholars and practitioners from
Externí odkaz:
http://arxiv.org/abs/1909.11869
Autor:
Kroll, Joshua A.
Publikováno v:
Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 2018 Nov . 376(2133), 1-14.
Externí odkaz:
https://www.jstor.org/stable/26601840
Autor:
Kroll, Joshua A., Huey, Joanna, Barocas, Solon, Felten, Edward W., Reidenberg, Joel R., Robinson, David G., Yu, Harlan
Publikováno v:
University of Pennsylvania Law Review, 2017 Feb 01. 165(3), 633-705.
Externí odkaz:
https://www.jstor.org/stable/26600576
Autor:
Kroll, Joshua A., Berzins, Valdis
Prepared for: Naval Air Warfare Development Center (NAVAIR) Traditional software safety techniques rely on validating software against a deductively defined specification of how the software should behave in particular situations. In the case of AI s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2778::62e9986de8bf21e7f8eb75296603d50d
https://hdl.handle.net/10945/71962
https://hdl.handle.net/10945/71962
Autor:
Felten, Edward W., Kroll, Joshua A.
Publikováno v:
Scientific American, 2014 Jul 01. 311(1), 14-15.
Externí odkaz:
https://www.jstor.org/stable/26040153
Publikováno v:
BMC Health Services Research; 9/12/2023, Vol. 23 Issue 1, p1-10, 10p, 4 Charts, 1 Graph