AI in geriatric psychiatry: precision meets human experience.

Area of Science:

• Geriatric Psychiatry
• Artificial Intelligence
• Robotics

Background:

• The global population is aging, increasing the demand for mental health services.
• Artificial intelligence (AI) and robotics are emerging as tools for geriatric mental healthcare.
• AI's increasing role in human-like interactions raises questions about authenticity.

Purpose of the Study:

• To review the intersection of AI's computational precision and the existential complexity of human connection in geriatric psychiatry.
• To explore theoretical frameworks guiding ethical AI integration.
• To advocate for a balanced approach to technology and human connection in aging mental healthcare.

Main Methods:

• Literature review examining AI applications in geriatric psychiatry.
• Analysis of theoretical frameworks like Theory of Computing (TOC) and Theory of Mind (ToM).
• Contrast of computational capabilities with subjective human experience.

Main Results:

• AI and robotics can enhance efficiency and access to mental health support for the elderly.
• AI systems can simulate empathy but lack subjective experience and existential depth.
• Ethical integration necessitates understanding the limits of AI compared to human connection.

Conclusions:

• AI offers transformative potential in geriatric psychiatry but cannot replicate authentic human connection.
• A transdisciplinary approach is needed to integrate AI ethically.
• Preserving the richness of human connection is crucial, especially in later life.