The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis.

Journal: JMIR mental health
PMID: 39919295

Abstract

BACKGROUND: The increasing deployment of conversational artificial intelligence (AI) in mental health interventions necessitates an evaluation of their efficacy in rectifying cognitive biases and recognizing affect in human-AI interactions. These biases are particularly relevant in mental health contexts as they can exacerbate conditions such as depression and anxiety by reinforcing maladaptive thought patterns or unrealistic expectations in human-AI interactions.

Authors

  • Marcin Rządeczka
    IDEAS NCBR, Warsaw, Poland.
  • Anna Sterna
    Philosophy of Mental Health Unit, Department of Social Sciences and the Humanities, Poznan University of Medical Sciences, Poznań, Poland.
  • Julia Stolińska
    IDEAS NCBR, Warsaw, Poland.
  • Paulina Kaczyńska
    Faculty of Mathematics, Informatics, and Mechanics, University of Warsaw, Warsaw, Poland.
  • Marcin Moskalewicz
    IDEAS NCBR, Warsaw, Poland.

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