This commentary explores how AI impacts diagnostic accuracy and ethical reasoning in psychology, suggesting the need for safeguards.
The rapid integration of artificial intelligence (AI) into psychological practice is transforming how psychologists reason, document, and deliver care. While the potential benefits of AI such as improved diagnostic accuracy, administrative efficiency, and data-informed decision-making are widely recognized, its unintended consequences for psychologists themselves remain poorly understood. Drawing on recent empirical and conceptual literature, this commentary critically examines six domains through which sustained AI use may adversely affect psychologists’ professional functioning: (a) cognitive functioning and professional competence, (b) professional identity and meaning, (c) ethical reasoning and legal challenges, (d) interpersonal and social functioning, (e) data governance and vendor lock-in and (f) personal wellbeing. Evidence suggests that cognitive offloading and automation bias may erode diagnostic reasoning and clinical judgment, moral deskilling and value misalignment can undermine ethical autonomy and technostress, data dependence, and vendor lock-in pose growing threats to practitioner wellbeing and professional sovereignty. These dynamics indicate that AI operates not merely as a technical aid but as a transformative social and psychological actor that reshapes how psychologists think, decide, and relate to their work. The paper argues for the urgent development of evidence-based safeguards, practitioner education, and regulatory frameworks to ensure that AI enhances rather than erodes human competence and ethical reflection. Without deliberate intervention, the rapid integration of AI across mental healthcare risks diminishing the very cognitive and moral capacities that define the discipline of psychology.
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Llewellyn E. van Zyl (2025) studied this question.
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