Kleanthous, S., Otterbacher, J., Bates, J. et al. (7 more authors) (2021) Report on the CyCAT winter school on fairness, accountability, transparency and ethics (FATE) in AI. ACM SIGIR Forum, 55 (1). 4. ISSN 0163-5840
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.
Metadata
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Copyright, Publisher and Additional Information: | © 2021 The Author(s). This is an author-produced version of a paper subsequently published in ACM SIGIR Forum. Uploaded in accordance with the publisher's self-archiving policy. | ||||
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Institution: | The University of Sheffield | ||||
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) | ||||
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Depositing User: | Symplectic Sheffield | ||||
Date Deposited: | 04 Aug 2021 13:54 | ||||
Last Modified: | 05 Aug 2021 09:15 | ||||
Status: | Published | ||||
Publisher: | Association for Computing Machinery (ACM) | ||||
Refereed: | Yes | ||||
Identification Number: | https://doi.org/10.1145/3476415.3476419 |