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pro vyhledávání: '"Social and professional topics ��� Computing / technology policy"'
The study of algorithmic fairness received growing attention recently. This stems from the awareness that bias in the input data for machine learning systems may result in discriminatory outputs. For clustering tasks, one of the most central notions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ec6593738dc4c12566d1cfabdf17c2f
Conference
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Autor:
Celis, L. Elisa
Front Matter, Table of Contents, Preface, Conference Organization
LIPIcs, Vol. 218, 3rd Symposium on Foundations of Responsible Computing (FORC 2022), pages 0:i-0:x
LIPIcs, Vol. 218, 3rd Symposium on Foundations of Responsible Computing (FORC 2022), pages 0:i-0:x
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3d252c54787a86f87dfc3942b6690dc
Publikováno v:
ISTI Research report, pp.35–66, 2022
This report documents the program and the outcomes of Dagstuhl Seminar 22022 "Mobility Data Analysis: from Technical to Ethical" that took place fully remote and hosted by Schloss Dagstuhl from 10-12 January 2022. An interdisciplinary team of 23 rese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73ea5aea3bac7a05dcc101c9de1aa321
Autor:
Ligett, Katrina, Gupta, Swati
Front Matter, Table of Contents, Preface, Conference Organization
LIPIcs, Vol. 192, 2nd Symposium on Foundations of Responsible Computing (FORC 2021), pages 0:i-0:viii
LIPIcs, Vol. 192, 2nd Symposium on Foundations of Responsible Computing (FORC 2021), pages 0:i-0:viii
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::103d67b3db1b3f151b9d05a19625dc35
Autor:
Reich, Claire Lazar, Vijaykumar, Suhas
Decision makers increasingly rely on algorithmic risk scores to determine access to binary treatments including bail, loans, and medical interventions. In these settings, we reconcile two fairness criteria that were previously shown to be in conflict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57578bdf4776a5df41fd9df0f2dbb749
Autor:
Ligett, Katrina, Gupta, Swati
LIPIcs, Volume 192, FORC 2021, Complete Volume
LIPIcs, Vol. 192, 2nd Symposium on Foundations of Responsible Computing (FORC 2021), pages 1-152
LIPIcs, Vol. 192, 2nd Symposium on Foundations of Responsible Computing (FORC 2021), pages 1-152
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8d1faaa33c624c8b7a6ce65d59e483e
https://drops.dagstuhl.de/opus/volltexte/2021/13867/
https://drops.dagstuhl.de/opus/volltexte/2021/13867/
Autor:
Stoyanovich, Julia
Algorithmic rankers take a collection of candidates as input and produce a ranking (permutation) of the candidates as output. The simplest kind of ranker is score-based; it computes a score of each candidate independently and returns the candidates i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01487da1bc923c5a2c60dbba3893c18a
Publikováno v:
SSRN Electronic Journal.
Trades in today���s financial system are inherently subject to settlement uncertainty. This paper explores tokenization as a potential technological solution. A token system, by enabling programmability of assets, can be designed to eradicate s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bac52b47adb1fc052c11a23b44b6c8f
https://doi.org/10.2139/ssrn.3820973
https://doi.org/10.2139/ssrn.3820973
Akademický článek
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