AAAI/ACM Conference on AI, Ethics, and Society

Last updated
AAAI/ACM Conference on AI, Ethics, and Society
AbbreviationAIES
Discipline Computer science
Publication details
Publisher Association for Computing Machinery
History2018 - current
FrequencyAnnual
Website https://www.aies-conference.com/

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] [2] The conference community includes lawyers, practitioners, and academics in computer science, philosophy, public policy, economics, human-computer interaction, and more. Its papers are regularly cited highlighting ethical issues with AI technologies, [3] [4] including automation, [5] democracy, [6] policy, [7] power, [8] or bias. [9] [10]

Contents

As of 2025, the conference is sponsored by the National Science Foundation as well as various large technology companies including Google, Lenovo, and IBM Research. [11] In recent years, sponsors include Sony, eBay, Salesforce, DeepMind, Meta and others. [12]

List of conferences

Past AIES conferences include:

YearLocationDateKeynote/Invited speakersLink
2025 Madrid, Spain October 20–22Ted Lechterman, Maria Eriksson, David Leslie, Urs Gasser, Miriam Fernandez, Emanuelle Burton, Shannon Vallor, Julienne LaChance, Samer Hassan, Emma Ruttkamp-Bloem [13]
2024 Santa Clara, California October 21–23 Diyi Yang, Emanuelle Burton, Casey Fiesler, Amy J. Ko, Amanda McCroskery, Marty J. Wolf, David Danks, danah boyd Website
2023 Montreal, Canada August 8–10Annette 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 6–8Peter 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

References

  1. ↑ "Bias in AI: How we Build Fair AI Systems and Less-Biased Humans". IBM Policy Lab. 1 Feb 2018. Retrieved 15 April 2024.[ dead link ]
  2. ↑ "Artificial Intelligence, Ethics, and Society". AAAI. Retrieved 2025-10-26.
  3. ↑ "AI is changing how we speak". Newsweek. 2025-08-29. Retrieved 2025-10-26.
  4. ↑ Taster (2025-10-21). "A practical blueprint for legal and ethical AI research - Impact of Social Sciences". Impact of Social Sciences - Maximizing the impact of academic research. Retrieved 2025-10-26.
  5. ↑ Admin, Blog (2025-09-09). "AI automation and the workforce with Dr Baobao Zhang | The Ballpark podcast | USAPP". USAPP | American Politics and Policy. Retrieved 2025-10-26.
  6. ↑ "Experimental Publics: Democracy and the Role of Publics in GenAI Evaluation". Knight First Amendment Institute. Retrieved 2025-10-26.
  7. ↑ School, Stanford Law (2023-10-16). "RegLab Students Make an Impact with Award-Winning Scholarship on Artificial Intelligence and Public Policy". Stanford Law School. Retrieved 2025-10-26.
  8. ↑ "The AI Power Disparity Index: Toward a Compound Measure of AI Actors' Power to Shape the AI Ecosystem". Knight First Amendment Institute. Retrieved 2025-10-26.
  9. ↑ Analysis, StudyFinds (2025-05-16). "AI Picks White Names Over Black In 85% Of Hiring Scenarios". Study Finds. Retrieved 2025-10-26.
  10. ↑ Siliezar, Juan; University, Brown. "Study shows AI can be fine-tuned for political bias". techxplore.com. Retrieved 2025-10-26.
  11. ↑ "AI, Ethics, and Society — Home". www.aies-conference.com. Retrieved 2025-10-26.
  12. ↑ "AIES Conference" . Retrieved 2022-08-04.
  13. ↑ "AI, Ethics, and Society — Home". www.aies-conference.com. Retrieved 2025-10-26.
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