About the webinar:
As artificial intelligence and autonomous systems become part of complex work environments, their value depends on how people understand, evaluate, and use them. Drawing on military operational experience and human factors research, this talk examines trust and decision-making in teams involving multiple humans and multiple autonomous systems. Dissertation findings illustrate how teammate-provided information and decision time constraints shape trust in autonomy, with implications for team communication and appropriate reliance on autonomous systems. Building on these findings, the talk introduces proposed research exploring interpretable AI decision support for military medical operations, including medical evacuation and resource allocation. This proposed work seeks to understand what makes AI recommendations understandable and useful as operational conditions and user needs evolve. The session will connect these research themes to occupational health and safety, emergency planning, and resource-constrained work, inviting discussion of how organizations can evaluate and introduce decision-support technologies into high-stakes environments.
