Grants and Contributions:
Title:
Quantifying Trust in Autonomous Medical Advisory Systems
Agreement Number:
CFPMN2-017
Agreement Value:
$1,479,441.00
Agreement Date:
Oct 18, 2019 - Oct 17, 2023
Description:
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).
Organization:
National Defence
Expected Results:
The research objectives of this Project are to quantify uncertainty in AI medical decision models; to evaluate the role of AMAS in the context of performing as a JCS with an individual and as a team member; and to optimize AMAS trust metrics for operational medicine applications employing body-worn sensors and portable diagnostic imaging from a Solution Readiness Level (SRL) 1 to SRL 6 over the life of the project.
Location:
Hamilton, Ontario, CA L8S 4L8
Reference Number:
180-2021-2022-Q2-CFPMN2-017
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Type:
Academia
Amendment Date
Sep 7, 2021
Recipient's Operating Name:
McMaster University
Recipient's Legal Name:
McMaster University
Research Organization:
McMaster University
Federal Riding Name:
Hamilton West--Ancaster--Dundas
Program:
Innovation for Defence Excellence and Security Program - Innovation Networks
Program Purpose:
Collaborate with academic and private sector partners to build a network of expertise to support Canada’s current and future defence and security needs.
Amendments: