AI models may amplify bias in psychiatric aggression predictions

A first-of-its-kind study led by researchers at the Centre for Addiction and Mental Health (CAMH) has found that artificial intelligence (AI) models used to predict aggressive incidents in acute psychiatric care can reinforce and amplify existing social and structural inequities by overestimating the likelihood of aggression among already marginalized groups.