Vol. 7 (2024): Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24)

Edited by Sanmay Das, Brian Patrick Green, Kush Varshney, Marianna Ganapini , Andrea Renda
October 21–23, 2024, San Jose, California, USA.

Published by The AAAI Press, Washington, DC, USA
Copyright © 2024, Association for the Advancement of Artificial Intelligence
1101 Pennsylvania Ave, NW, Suite 300, Washington, DC 20004
All Rights Reserved. No part of this proceedings may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.
ISBN-10 1-57735-892-9
ISBN-13 978-1-57735-892-3

The Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) was held in San Jose, California from October 21-23, 2024.

Artificial intelligence (AI) is increasingly pervasive, powerful, and contested. While AI has the potential to empower individuals and improve society, the ethical ramifications of AI systems and their impact on human societies requires deep and urgent reflection. International organizations, governments, universities, corporations, and philanthropists have recognized this need to embark on an interdisciplinary investigation to help chart a course through the new territory enabled by AI. Earlier iterations of this conference and others have seen the first fruits of these calls to action, as programs for research have been set out in many fields relevant to AI, Ethics, and Society.

AIES is convened each year by program co-chairs from Computer Science, Law and Policy, the Social Sciences, Ethics and Philosophy. Our goal is to encourage talented scholars in these and related fields to submit their best work related to morality, law, policy, psychology, the other social sciences, and AI. In addition to the community of scholars who have participated in these discussions from the outset, AIES welcomes disciplinary experts who are newer to this topic and see ways to break new ground in their own fields by thinking about AI. Recognizing that a multiplicity of perspectives leads to stronger science, the conference actively encourages people with differing identities, expertise, backgrounds, beliefs, or experiences to participate.