AI in geriatric psychiatry: precision meets human experience

Artificial intelligence (AI) and robotics are rapidly transforming geriatric psychiatry, offering powerful tools for early detection, personalized treatment, and enhanced care delivery. As the global population ages, these technologies promise not only greater efficiency but also new avenues for delivering scalable, accessible mental health support. However, as AI increasingly engages with domains once considered uniquely human-emotional intelligence, decision-making, and interpersonal connection-it raises deeper questions about the boundary between AI-simulated interaction and authentic human connection. This review examines the intersection of computational precision and existential complexity, emphasizing how theoretical frameworks such as the Theory of Computing (TOC) and Theory of Mind (ToM) can guide ethical and human-centered integration. While AI systems may convincingly simulate empathy or companionship, they cannot share subjective experience, vulnerability, or existential depth. By contrasting computational precision with the irreducible aspects of human complexity, we advocate for a transdisciplinary approach that embraces both the transformative potential of technology and the irreplaceable richness of human connection-especially in the later stages of life, when questions of purpose, mortality, and selfhood become most profound.