The AI inflection point in clinical neuropsychology: a call to action
Переломный момент развития искусственного интеллекта в клинической нейропсихологии: призыв к действию
2025-07-03
SCID: 54.1/h2suubdm
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AI literacyartificial intelligenceclinical neuropsychologydiagnostic biasethical AI integration
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Abstract (AI)
This commentary explores the rapidly evolving role of Artificial Intelligence (AI) in clinical neuropsychology, offering a critical framework for its responsible integration. Drawing on recent work that used AI to automate a neuropsychological screening tool; the article discusses key fears about AI and its more tangible risks, across safety, privacy, diagnostic bias, "erosion" of clinical judgment, and a lack of transparency. Rather than a disruptive or displacing force, this commentary argues that it represents a natural evolution of the historical shared commitment within neuropsychology and AI research to understand learning and adaptation. Key ideas are explored that highlight the value of AI as a powerful augmentative tool that automates discrete tasks, freeing neuropsychologists to focus on higher-level clinical and ethical duties. It concludes that whilst AI will not replace neuropsychologists, it is already permanently reshaping clinical workflows, decision-making and the broader contours of practice, as other key technological advances have historically achieved. Therefore, cultivating AI literacy is a fundamental step in effectively responding as opposed to reacting to these global changes. It dually challenges and positions our professional community to actively define sound ethical parameters, uphold scientific rigor, and ultimately leverage automation to enhance equitable access to high quality care.
Key Findings
1
AI is presented as an augmentative technology that can automate discrete neuropsychological tasks while preserving clinicians’ higher-level clinical and ethical responsibilities.
2
AI is unlikely to replace neuropsychologists but is already reshaping clinical workflows, decision-making, and the broader scope of professional practice.
3
Developing AI literacy is identified as essential for proactively managing technological change and establishing ethical, scientifically rigorous integration.
4
Neuropsychology should actively define ethical parameters and leverage automation to improve equitable access to high-quality care.
5
Responsible AI integration in clinical neuropsychology requires addressing safety, privacy, diagnostic bias, erosion of clinical judgment, and limited transparency.
Research Object
Artificial Intelligence integration into clinical neuropsychology practice
Research Subject
Responsible use of AI as an augmentative force in clinical neuropsychology, including its effects on screening-task automation, safety, privacy, diagnostic bias, clinical judgment, transparency, workflows, decision-making, and equitable access to care
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2025-07-03
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