Clinician warns of potential AI 'collusion' with unreliable human input in mental health

A new viewpoint article published in JMIR Mental Health warns that artificial intelligence (AI) systems used in mental health settings may inherit and reinforce unreliable human input unless new safeguards are adopted. The paper, titled "When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion," calls for the "clinical reliability" of training data to become a core standard for trustworthy AI.