Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Clinton Castro"'
Autor:
Gabriel J Odom, Laura Brandt, Clinton Castro, Sean X Luo, Daniel J Feaster, Raymond R Balise, CTN-0094 Team
Publikováno v:
PLoS ONE, Vol 18, Iss 9, p e0291248 (2023)
IntroductionThe efficacy of treatments for substance use disorders (SUD) is tested in clinical trials in which participants typically provide urine samples to detect whether the person has used certain substances via urine drug screenings (UDS). UDS
Externí odkaz:
https://doaj.org/article/2852e10dd050444988d45eccacea631f
Autor:
Timothy Aylsworth, Clinton Castro
In this open access book, Timothy Aylsworth and Clinton Castro draw on the deep well of Kantian ethics to argue that we have moral duties, both to ourselves and to others, to protect our autonomy from the threat posed by the problematic use of techno
Autor:
Clinton Castro, Michele Loi
Publikováno v:
Res Publica. 29:331-337
Holm (Res Publica, 2022. https://link.springer.com/article/10.1007/s11158-022-09546-3) argues that a class of algorithmic fairness measures, that he refers to as the ‘performance parity criteria’, can be understood as applications of John Broome
Publikováno v:
Res Publica. 29:237-264
Autor:
Clinton Castro
Publikováno v:
Public Affairs Quarterly. 36:163-183
A number of findings in the field of machine learning have given rise to questions about what it means for automated scoring- or decision-making systems to be fair. One center of gravity in this discussion is whether such systems ought to satisfy cla
Autor:
Clinton Castro, Michele Loi
Publikováno v:
Res Publica. 29:339-340
Publikováno v:
The Philosophy of Online Manipulation ISBN: 9781003205425
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9d3cc13f5512f1e4839d6d7fd12b6d6
https://doi.org/10.4324/9781003205425-21
https://doi.org/10.4324/9781003205425-21
Autor:
Clinton Castro, Timothy Aylsworth
Publikováno v:
Journal of Applied Philosophy. 38:662-673
Publikováno v:
Social Theory and Practice. 46:547-572
Algorithmic systems and predictive analytics play an increasingly important role in various aspects of modern life. Scholarship on the moral ramifications of such systems is in its early stages, and much of it focuses on bias and harm. This paper arg
Autor:
Kevin Kuruc, Michelle Hutchinson, H. Orri Stefánsson, Clinton Castro, Michal Masny, Nick Beckstead, William MacAskill, Susumu Cato, Hilary Greaves, Katie Steele, Diane Coffey, Dean Spears, Tim S. Campbell, Christian Tarsney, Marc Fleurbaey, John Broome, Torbjörn Tännsjö, Geir B. Asheim, Jeff Sebo, Marcus Pivato, Lisa Forsberg, Toby Ord, Stéphane Zuber, Nikhil Venkatesh, Alexander Berger, Johan E. Gustafsson, Mark Budolfson, Nicholas Lawson, Yew-Kwang Ng
Publikováno v:
Utilitas
Utilitas, Cambridge University Press (CUP), 2021, 33 (4), pp.379-383. ⟨10.1017/s095382082100011x⟩
Utilitas, Cambridge University Press (CUP), 2021, 33 (4), pp.379-383. ⟨10.1017/s095382082100011x⟩
The Repugnant Conclusion is an implication of some approaches to population ethics. It states, in Derek Parfit's original formulation, For any possible population of at least ten billion people, all with a very high quality of life, there must be som
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8a1f2bc26cea8404d82c2f673b4bf14
http://eprints.lse.ac.uk/116587/
http://eprints.lse.ac.uk/116587/