Supporting Responsible Human-AI Cooperation for Emergency Responders

Conference Paper (2025)
Author(s)

T. Mioch (Hogeschool Utrecht (HU), TU Delft - Interactive Intelligence)

Research Group
Interactive Intelligence
DOI related publication
https://doi.org/10.3233/FAIA250690
More Info
expand_more
Publication Year
2025
Language
English
Research Group
Interactive Intelligence
Pages (from-to)
552-559
ISBN (electronic)
9781643686110
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Emergency responders (ERs) work in dynamic, complex, and unpredictable environments. The integration of increasingly advanced sensor and artificial intelligence technology affects the work processes and decision-making of ERs and leads to new challenges regarding efficient and responsible human-AI cooperation. For responsible human-AI cooperation, AI systems should support relevant human values; however, it is not clear which values these are and how they can be supported. This paper outlines an investigation into developing a framework for ER-AI cooperation to advance the building of shared situation awareness and decision-making, while taking the underlying values into account, and presents first results of relevant values and design requirements.