Reports of the Association for the Advancement of Artificial Intelligence's 2024 Fall Symposium Series

The Association for the Advancement of Artificial Intelligence's 2024 Fall Symposium Series was held at Westin Arlington Gateway, Arlington, Virginia, November 7-9, 2024. There were seven symposia in the fall program: 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. This report contains summaries of the workshops, which were submitted by some, but not all, of the workshop chairs. The rapid embrace of AI-based critical systems introduces new dimensions of errors that induce increased levels of risk, limiting trustworthiness. Thus, AI-based critical systems must be assessed across many dimensions by different parties (researchers, developers, regulators, customers, insurance companies, end-users, etc.) for different reasons. Assessment of trustworthiness should be made at both the full system level and at the level of individual AI components. The focus of this symposium was on AI trustworthiness broadly and methods that help provide bounds for fairness, reproducibility, reliability, and accountability in the context of quantifying AI-system risk, spanning the entire AI lifecycle from theoretical research formulations all the way to system implementation, deployment, and operation. This first AAAI symposium on AI Trustworthiness and Risk Assessment in Challenging Contexts was triggered by two initiatives on responsible and trustworthy AI that came together thanks to encouragement given by AAAI: an international community (mostly European and Asia-South Pacific) around AI trustworthiness assessment for critical systems, already gathered at the AITA SSS Symposium in 2023; and a US-based community around University of West Florida, gathered about the question of AI risk assessment in challenging contexts e.g., for security or defense applications.