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
Item Type: | Article |
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Authors/Creators: |
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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. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 810105 |
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: | 10.1145/3476415.3476419 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:176802 |