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AAAI/ACM Conference on AI, Ethics, and Society

The AAAI/ACM Conference on AI, Ethics, and Society (AIES) is a peer-reviewed academic conference series focused on societal and ethical aspects of artificial intelligence. The conference is jointly organized by the Association for Computing Machinery, namely the Special Interest Group on Artificial Intelligence (SIGAI), and the Association for the Advancement of Artificial Intelligence, and "is designed to shift the dynamics of the conversation on AI and ethics to concrete actions that scientists, businesses and society alike can take to ensure this promising technology is ushered into the world responsibility."[1] The conference community includes lawyers, practitioners, and academics in computer science, philosophy, public policy, economics, human-computer interaction, and more.

AAAI/ACM Conference on AI, Ethics, and Society
AbbreviationAIES
DisciplineComputer science
Publication details
PublisherAssociation for Computing Machinery
History2018 - current
FrequencyAnnual
Websitehttps://www.aies-conference.com/

As of 2022, the conference is sponsored by the National Science Foundation as well as various large technology companies including Google, DeepMind, Meta, and IBM Research.[2]

List of conferences

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Past and future AIES conferences include:

Year Location Date Keynote/Invited speakers Link
2024 Santa Clara, California October 21–23 TBA Website
2023 Montreal, Canada August 8–10 Annette Zimmermann, Jamie Morgenstern, Paola Ricaurte Quijano, Kate Larson, Gary Marchant, Roxana Daneshjou, Atoosa Kasirzadeh Website
2022 Oxford, England August 1–3 Deb Raji, Ronald Arkin, Shannon Vallor, Abeba Birhane, Bertram Malle, Karen Levy Website
2021 Virtual May 19–21 Ifeoma Ajunwa, Timnit Gebru, Arvind Narayanan Website
2020 New York, New York February 6–8 Peter Dabrock, Anita Gurumurthy, Charlton McIlwain, Gina Neff, Frank Pasquale Website
2019 Honolulu, Hawaii January 27–28 Ryan Calo, Susan Athey, Anca Dragan, David Danks Website
2018 New Orleans, Louisiana February 1–3 Iyad Rahwan, Edmond Awad, Carol Rose, Richard Freeman, Patrick Lin, Tenzin Priyadarshi Website

See also

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References

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  1. ^ "Bias in AI: How we Build Fair AI Systems and Less-Biased Humans". IBM Policy Lab. 1 Feb 2018. Retrieved 15 April 2024.
  2. ^ "AIES Conference". Retrieved 2022-08-04.
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