Vol. 4 No. 1: Proceedings of the 2024 AAAI Fall Symposia

AAAI Fall Symposium 2024 Proceedings Cover

Edited by Feras A. Batarseh, Frank Stein
November 7-9, 2024, Arlington, Virginia, 2024.

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.
ISSN 2994-4317
ISBN-10 1-57735-894-5
ISBN-13 978-1-57735-894-7

The Association for the Advancement of Artificial Intelligence’s 2024 Fall Symposium Series was held on November 7-9, 2024, at Westin Arlington Gateway, in Arlington, Virginia. This AAAI Symposium Series fosters a more intimate environment, enabling emerging AI communities to engage in workshop-style discussions. The topics change each year, ensuring a dynamic venue that stays current with the evolving landscape of AI research and applications.

The program included the following eight symposia:

  • AI Trustworthiness and Risk Assessment for Challenging Contexts (ATRACC)
  • Artificial Intelligence for Aging in Place
  • Integrated Approaches to Computational Scientific Discovery
  • Large Language Models for Knowledge Graph and Ontology Engineering (LLMs for KG and OE)
  • Machine Intelligence for Equitable Global Health (MI4EGH)
  • Unifying Representations for Robot Application Development
  • Using AI to Build Secure and Resilient Agricultural Systems: Leveraging AI to mitigate Cyber, Climatic and Economic Threats in Food, Agricultural, and Water (FAW) Systems.
Published: 2024-11-08

AI Trustworthiness and Risk Assessment for Challenging Contexts (ATRACC)

AI Trustworthiness and Risk Assessment for Challenging Contexts (ATRACC) - Short Papers

Artificial Intelligence for Aging in Place

Artificial Intelligence for Aging in Place - Short Papers

Large Language Models for Knowledge Graph and Ontology Engineering - Short Papers

Machine Intelligence for Equitable Global Health (MI4EGH) - Position Papers

Unifying Representations for Robot Application Development - Research Papers

Unifying Representations for Robot Application Development - Position Papers

Unifying Representations for Robot Application Development - Artifact Papers

Using AI to Build Secure and Resilient Agricultural Systems