Coming of Age: Large Language Models (LLMs) as Cognitive Supports for an Aging Population

This paper explores the potential of Large Language Models (LLMs) as tools for cognitive support in aging populations, focusing on their ability to enhance memory, provide task reminders, and facilitate social engagement. As the global population ages, the demand for adaptive technologies that support aging in place increases, while healthcare resources grow increasingly strained. LLMs represent a promising avenue for addressing this gap by offering culturally competent, conversational interfaces capable of supporting cognitive function. Despite current limitations in context retention and response accuracy, advancements in LLM technology could enhance personalization and continuity of care, potentially transforming LLMs into significant companions for older adults experiencing cognitive decline. This paper provides an overview of existing LLM capabilities, the challenges that remain, and a projection of how these models might evolve to meet the growing needs of an aging society.