Responsible AI: From Principles To Action: Keynote Talk
Abstract
Virginia Dignum has given a Keynote Talk at The ACM Web Conference 2022 on Thursday 28th April 2022. This paper provides a summary of the topics she addressed during her talk.
References
[1]
Raja Chatila, Virginia Dignum, Michael Fisher, Fosca Giannotti, Katharina Morik, Stuart Russell, and Karen Yeung. 2021. Trustworthy AI. In Reflections on Artificial Intelligence for Humanity, Bertrand Braunschweigand Malik Ghallab (Eds.). Lecture Notes in Computer Science, Vol. 12600. Springer, 13–39. https://doi.org/10.1007/978-3-030-69128-8_2
[2]
Virginia Dignum. 2021. The Myth of Complete AI-Fairness. In 19th International Conference on Artificial Intelligence in Medicine (AIME)(Lecture Notes in Computer Science, Vol. 12721), Allan Tucker, Pedro Henriques Abreu, Jaime S. Cardoso, Pedro Pereira Rodrigues, and David Riaño (Eds.). Springer, 3–8. https://doi.org/10.1007/978-3-030-77211-6_1
[3]
Andreas Theodorou and Virginia Dignum. 2020. Towards ethical and socio-legal governance in AI. Nature Machine Intelligence 2, 1 (2020), 10–12. https://doi.org/10.1038/s42256-019-0136-y
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- Responsible AI: From Principles To Action: Keynote Talk
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Published In
April 2022
3764 pages
ISBN:9781450390965
DOI:10.1145/3485447
Copyright © 2022 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 25 April 2022
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- Keynote
- Research
- Refereed limited
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WWW '22
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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%
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