Disclosure of AI Involvement Shifts Authenticity Toward Human Mental Health Support: A Longitudinal Study

To the point

Gagan Jain, Samridhi Pareek, and Per Carlbring conducted a long-term study with 140 young adults showing that when the source of mental health help is not disclosed, people rate human responses as more authentic than AI ones while professionalism and practicality show little difference, and six months later after disclosure authenticity again favors humans with a moderate to large effect size while differences in professionalism and practicality are smaller, with trust in AI remaining tied to practicality, and the researchers say empathy and context give humans the edge and AI can be a helpful supplement, though limitations include sample size and representativeness, potential bias from disclosure, and privacy concerns.

Revealing the source: How awareness alters perceptions of AI and human-generated mental health responses
nih.gov

Revealing the source: How awareness alters perceptions of AI and human-generated mental health responses

In mental health care, the integration of artificial intelligence (AI) into internet interventions could significantly improve scalability and accessibility, provided that AI is perceived as being as effective as human professionals. This ...