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Artificial Intelligence-Based Student Activity Monitoring for Suicide Risk: Considerations for K-12 Schools, Caregivers, Government, and Technology De
Benjamin Boudreaux
(Author)
·
Lynsay Ayer
(Author)
·
Jessica Welburn Paige
(Author)
·
RAND Corporation
· Paperback
Artificial Intelligence-Based Student Activity Monitoring for Suicide Risk: Considerations for K-12 Schools, Caregivers, Government, and Technology De - Ayer, Lynsay ; Boudreaux, Benjamin ; Welburn Paige, Jessica
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Synopsis "Artificial Intelligence-Based Student Activity Monitoring for Suicide Risk: Considerations for K-12 Schools, Caregivers, Government, and Technology De"
Some schools have begun employing artificial intelligence (AI)-based tools to help identify students at risk for suicide and self-harm. The authors provide a preliminary examination of how these programs are implemented, how stakeholders perceive the effects of the programs, and their potential benefits and risks. The authors then offer recommendations for school leaders, policymakers, and technology developers to consider.