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[Artificial intelligence and self-destructive behavior].
Mátyás Mészáros1, Péter Osváth2
11 Pécsi Tudományegyetem, Általános Orvostudományi Kar, Klinikai Idegtudományok Doktori Iskola Pécs, Szigeti u. 12., 7624 Magyarország.
Orvosi Hetilap
|January 26, 2026
Summary
Artificial intelligence (AI) aids in understanding complex self-destructive behaviors. However, increased AI use for mental health may substitute professional help, posing new challenges.
Area of Science:
- Psychology
- Sociology
- Artificial Intelligence
- Mental Health
Background:
- Self-destructive behavior is a multifaceted issue with biological, psychological, and sociological dimensions.
- Scientific understanding of these behaviors has advanced significantly.
- Artificial intelligence (AI) offers new tools for analyzing complex behavioral patterns.
Purpose of the Study:
- To explore the interdisciplinary implications of AI in understanding self-destructive behavior.
- To address the growing trend of individuals using AI for mental health support.
- To examine the potential risks of AI replacing professional mental health services.
Main Methods:
- Interdisciplinary review of scientific literature.
- Analysis of AI applications in behavioral science.
- Examination of trends in AI-driven mental health support.
Main Results:
- AI enables detailed mapping of intricate self-destructive behavior patterns.
- Increased AI adoption correlates with more individuals seeking digital mental health solutions.
- Potential for AI to supplement or inadvertently replace human therapeutic interactions.
Conclusions:
- AI presents a dual opportunity in understanding and addressing self-destructive behaviors.
- The integration of AI in mental health requires careful consideration of its impact on patient care.
- Further research is needed to balance AI's benefits with the necessity of professional human support.
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