ΑΙhub.org
 

#AIES2024 conference schedule


by
19 October 2024



share this:


The AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) will take place from 21-23 October, in San Jose, California. The conference is designed to bring together researchers from different disciplines to discuss AI and its impact on society, and ethical issues and challenges. The seventh edition of the event will see keynote talks, oral and poster sessions, and a pedagogy roundtable. See below for information about the speakers, and topics covered.

Keynote speakers

There will be three keynote talks, given by:

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

Oral sessions

The oral sessions, held over the three days of the event, will cover the following themes:

  • Algorithmic implications of regulations
  • Large language model alignment
  • Excluded knowledges and openness
  • Governance and implications
  • Responsible AI tools and transparency
  • Biases in foundation models I
  • Human-AI relationships
  • Algorithms
  • Evaluating risks and harms

Roundtable

The panellists for the pedagogy roundtable will be:

  • Emanuelle Burton, University of Illinois Chicago
  • Casey Fiesler, University of Colorado Boulder
  • Amy J. Ko, University of Washington Information School
  • Amanda McCroskery, Google Deepmind
  • Marty J. Wolf, Bemidji State University

Disability in Computing

A Disability in Computing meet-up will take place on Monday 21 October, from 13:00-14:00. If you are interested in attending, sign up here.

You can find out more about the conference here.



tags: , ,


Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

The Machine Ethics podcast: moral agents with Jen Semler

In this episode, Ben and Jen Semler talk about what makes a moral agent, the point of moral agents, philosopher and engineer collaborations, and more.

Extending the reward structure in reinforcement learning: an interview with Tanmay Ambadkar

  23 Feb 2026
Find out more about Tanmay's research on RL frameworks, the latest in our series meeting the AAAI Doctoral Consortium participants.

The Good Robot podcast: what makes a drone “good”? with Beryl Pong

  20 Feb 2026
In this episode, Eleanor and Kerry talk to Beryl Pong about what it means to think about drones as “good” or “ethical” technologies.

Relational neurosymbolic Markov models

and   19 Feb 2026
Relational neurosymbolic Markov models make deep sequential models logically consistent, intervenable and generalisable

AI enables a Who’s Who of brown bears in Alaska

  18 Feb 2026
A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears in the wild, despite the substantial changes that occur in their appearance over the summer season.

Learning to see the physical world: an interview with Jiajun Wu

and   17 Feb 2026
Winner of the 2019 AAAI / ACM SIGAI dissertation award tells us about his current research.

3 Questions: Using AI to help Olympic skaters land a quint

  16 Feb 2026
Researchers are applying AI technologies to help figure skaters improve. They also have thoughts on whether five-rotation jumps are humanly possible.

AAAI presidential panel – AI and sustainability

  13 Feb 2026
Watch the next discussion based on sustainability, one of the topics covered in the AAAI Future of AI Research report.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence