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Challenges and opportunities when bringing machines onto the team: : Human-AI teaming and flood evacuation decisions

Published: 09 July 2024 Publication History

Abstract

Supporting humans and artificial intelligence (AI) machines as teammates in flood evacuation decisions relies on a carefully designed system with the capability for monitoring, analyzing, responding, and executing. In this context, research is needed to improve the integration of human knowledge into the AI machines. The goal is to achieve trusting partnerships between humans and machines that allow them to communicate, coordinate, and work effectively as a team. Further, methods for supporting transparency and explainability in future AI system design need to consider incorporating different types of human data (e.g., social media data, collected citizen knowledge, and stakeholder input) in the loop particularly as these factors relate to dynamically changing flood evacuation situations. This commentary lays out the rationale for human-AI teaming (HAT) systems in the context of flood evacuation decision making.

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Published In

cover image Environmental Modelling & Software
Environmental Modelling & Software  Volume 175, Issue C
Apr 2024
319 pages

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 09 July 2024

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  1. Human-AI teaming
  2. Flood evacuation decision making
  3. Trusting partnership

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