Trust in and Acceptance of Artificial Intelligence in the Age of Digital Medicine

Introduction. Artificial intelligence (AI) is actively introduced into modern medicine, increasing diagnostic accuracy, data management efficiency, and quality of clinical decisions. However, the use of AI is accompanied by expectations of progress, as well as by social concerns. A key condition for adopting AI is trust based on transparency, explainability, and ethical responsibility, while digital phobias are associated with risks of data leakage, algorithmic bias, and increased social inequality. Adaptation to AI requires the comprehensive involvement of the professional community, policymakers, and society as a whole. Purpose. To conceptualize social expectations and phobias related to the implementation of AI in the healthcare sector. Materials and methods. Theoretical and analytical research was carried out using conceptual modeling. The research was aimed at systematizing and interpreting scientific data on social expectations, phobias, and trust mechanisms related to the introduction of AI into healthcare. This interdisciplinary work is at the intersection of medical sociology, digital medicine, social psychology, and science and technology studies. Results. Trust in and acceptance of AI in the age of digital medicine depends not only on the technological advantages of AI but also on how well AI systems meet society’s expectations in the areas of security, fairness, confidentiality, and social responsibility. Providing support and training, and introducing ethical standards into the process of AI development and implementation, are key conditions for successful technology adaptation in healthcare.

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