Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Bernease Herman"'
Publikováno v:
Proceedings of the Association for Information Science and Technology. 59:630-632
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5275c880a2b73e72c1db89116af2e74c
https://doi.org/10.1002/pra2.672
https://doi.org/10.1002/pra2.672
Autor:
Bill Howe, Jackson Maxfield Brown, Bin Han, Bernease Herman, Nic Weber, An Yan, Sean Yang, Yiwei Yang
Publikováno v:
The European Physical Journal Special Topics. 231:1741-1752
We consider the use of AI techniques to expand the coverage, access, and equity of urban data. We aim to enable holistic research on city dynamics, steering AI research attention away from profit-oriented, societally harmful applications (e.g., facia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2789b44611137a962035033359701a4
https://doi.org/10.1140/epjs/s11734-022-00475-z
https://doi.org/10.1140/epjs/s11734-022-00475-z
Autor:
Bernease Herman
Slides from csvconf,v6 presentation, "Static datasets aren't enough: where deployed systems differ from research" by Bernease Herman (WhyLabs). The focus on static datasets in machine learning and AI training fails to translate to how these systems a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51df9c5262ee76e3b6f87f6d26129662
Autor:
Daniella Raz, Michael Katell, Vivian Guetler, Dharma Dailey, Peter M. Krafft, Bernease Herman, Meg Young, Corinne Bintz, Aaron Tam
Publikováno v:
AIES
This paper reports on the making of an interactive demo to illustrate algorithmic bias in facial recognition. Facial recognition technology has been demonstrated to be more likely to misidentify women and minoritized people. This risk, among others,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10290a5b7ca873a93e21bd3d97d550ae
https://doi.org/10.1145/3461702.3462627
https://doi.org/10.1145/3461702.3462627
Autor:
Meg Young, Peter M. Krafft, Vivian Guetler, Bernease Herman, Corinne Bintz, Aaron Tam, Shankar Narayan, Bissan Barghouti, Dharma Dailey, Franziska Putz, Pa Ousman Jobe, Jennifer Lee, Micah Epstein, Brian Robick, Michael Katell, Daniella Raz
Publikováno v:
FAccT
Motivated by the extensive documented disparate harms of artificial intelligence (AI), many recent practitioner-facing reflective tools have been created to promote responsible AI development. However, the use of such tools internally by technology d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d870daac1fa7a0b60b33f8ae86afd913
https://doi.org/10.1145/3442188.3445938
https://doi.org/10.1145/3442188.3445938
Publikováno v:
Proceedings of the Association for Information Science and Technology. 57
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b5fcdd45670285a7ae73e06b8d35de8
https://doi.org/10.1002/pra2.314
https://doi.org/10.1002/pra2.314
Autor:
Vivian Guetler, Meg Young, Corinne Bintz, Aaron Tam, Dharma Dailey, Michael Katell, Peter M. Krafft, Bernease Herman, Daniella Raz
Publikováno v:
FAT*
Research to date aimed at the fairness, accountability, and transparency of algorithmic systems has largely focused on topics such as identifying failures of current systems and on technical interventions intended to reduce bias in computational proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdf5bc98bc071e63c8780527df2be05f
https://doi.org/10.1145/3351095.3372874
https://doi.org/10.1145/3351095.3372874
Publikováno v:
The Journal of the Acoustical Society of America. 142:2719-2719
Recent advances in technology have produced a deluge of acoustic data that offer opportunities to study ecological processes at scales that are not possible previously. A prominent example is the continuous data flow from the fleet of upward-looking
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5eaadb3c300fdd84bbdc53ea08ced09
https://doi.org/10.1121/1.5014920
https://doi.org/10.1121/1.5014920
Autor:
NAUTA, MEIKE1,2 m.nauta@utwente.nl, TRIENES, JAN2 jan.trienes@uni-due.de, PATHAK, SHREYASI1,2 s.pathak@utwente.nl, NGUYEN, ELISA1 t.q.e.nguyen@alumnus.utwente.nl, PETERS, MICHELLE1 xai@michellepeters.eu, SCHMITT, YASMIN2 yasmin.schmitt@stud.uni-due.de, SCHLÖTTERER, JÖRG2 joerg.schloetterer@uni-due.de, VAN KEULEN, MAURICE1 m.vankeulen@utwente.nl, SEIFERT, CHRISTIN2 christin.seifert@uni-due.de
Publikováno v:
ACM Computing Surveys. 2023 Suppl13s, Vol. 55, p1-42. 42p.
Autor:
Byun, Mimi1 mimibyun@my.unt.edu, Evans, Sarah1 sarah.evans@unt.edu, Herman, Bernease2 bernease@uw.edu, Aragon, Cecilia2 aragon@uw.edu, Rojas‐Ponce, Diana1 dianarojas‐ponce@my.unt.edu
Publikováno v:
Proceedings of the Association for Information Science & Technology. Oct2022, Vol. 59 Issue 1, p630-632. 3p.