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Report on the CyCAT winter school on fairness, accountability, transparency and ethics (FATE) in AI
Journal
ACM SIGIR Forum
Author(s)
Jo Bates
Fausto Giunchiglia
Frank Hopfgartner
Tsvi Kuflik
Kalia Orphanou
Monica L. Paramita
Michael Rovatsos
Avital Shulner-Tal
ISSN
0163-5840
Date Issued
2021-06
Page Start
1
Page End
9
DOI
https://doi.org/10.1145/3476415.3476419
Abstract
The first FATE Winter School, organized by the Cyprus Center for Algorithmic Transparency (CyCAT) provided a forum for both students as well as senior researchers to examine the complex topic of Fairness, Accountability, Transparency and Ethics (FATE). Through a program that included two invited keynotes, as well as sessions led by CyCAT partners across Europe and Israel, participants were exposed to a range of approaches on FATE, in a holistic manner. During the Winter School, the team also organized a hands-on activity to evaluate a tool-based intervention where participants interacted with eight prototypes of bias-aware search engines. Finally, participants were invited to join one of four collaborative projects coordinated by CyCAT, thus furthering common understanding and interdisciplinary collaboration on this emerging topic.
Publisher
Association for Computing Machinery (ACM)
File(s)
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Size
28.88 KB
Format
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Checksum
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