Artificial Intelligence/Operations Research Workshop 2 Report Out

TL;DR

This workshop report discusses foundational elements of trustworthy AI and Operations Research, emphasizing fairness, explainability, robustness, privacy, and human alignment, and highlights collaborative challenge problems for societal benefit.

Contribution

It synthesizes recent discussions on trustworthy AI/OR topics and identifies collaborative challenge problems to advance societal applications.

Findings

Identified key topics: fairness, explainability, robustness, privacy, human alignment.

Proposed collaborative challenge problems for AI and OR researchers.

Emphasized the importance of integrating AI and OR techniques for societal impact.

Abstract

This workshop Report Out focuses on the foundational elements of trustworthy AI and OR technology, and how to ensure all AI and OR systems implement these elements in their system designs. Four sessions on various topics within Trustworthy AI were held, these being Fairness, Explainable AI/Causality, Robustness/Privacy, and Human Alignment and Human-Computer Interaction. Following discussions of each of these topics, workshop participants also brainstormed challenge problems which require the collaboration of AI and OR researchers and will result in the integration of basic techniques from both fields to eventually benefit societal needs.