Recipient
McMaster UniversityDepartment
National DefenceAmount
$1.5M
Province
ONType
Contribution
Agreement Number
180-2021-2022-Q2-CFPMN2-017
Purpose
Artificial intelligence (AI) and machine learning (ML) are key to medical support and care in remote and austere environments. However, they introduce two primary challenges for trust and adoption, which are not adequately addressed in existing autonomous systems because they are not well understood; these include: 1) uncertainty in AI decision models, and 2) the impact of autonomous systems on human-machine interaction as a joint cognitive system (JCS). We propose to develop a framework to quantify trust in autonomous medical advisory systems (AMAS) decisions and optimize for integration into a joint cognitive system (JCS).
McMaster University × National Defence
2 grants totalling $3.0M
Innovation for Defence Excellence and Security Program - Innovation Networks
117 grants totalling $142.7M
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