Programme de la conférence #AIES2024

Programme de la conférence #AIES2024

The AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) is scheduled to take place from October 21 to 23 in San Jose, California. This conference aims to bring together researchers from various fields to discuss AI’s societal impact and the ethical questions and challenges it presents. The seventh edition of the event will feature keynote speeches, oral and poster sessions, and an educational panel discussion. More details on the speakers and topics can be found below.

Keynote Speakers

There will be three keynote addresses delivered by:

  • Diyi Yang from Stanford University
  • David Danks from the University of California, San Diego
  • Dana Boyd from Microsoft Research / Georgetown University

    Oral Sessions

    The oral sessions, spread across the three days of the event, will cover the following themes:

  • Algorithmic Implications of Regulations
  • Large Language Model Alignment
  • Excluded Knowledge and Openness
  • Governance and Implications
  • Responsible AI Tools and Transparency
  • Bias in Foundation Models I
  • Human-AI Relationships
  • Algorithms
  • Risk and Harm Assessment

    Panel Discussion

    The educational panel will feature the following participants:

  • Emmanuel Burton from the University of Illinois at Chicago
  • Casey Fiesler from the University of Colorado Boulder
  • Amy J. Ko from the University of Washington Information School
  • Amanda McCroskery from Google DeepMind
  • Marty J. Wolf from Bemidji State University

    Computing and Disability

    A session on computing and disability will be held on Monday, October 21, from 1:00 PM to 2:00 PM. If you are interested in participating, please register here.

    For more information about the conference, visit here.

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