Ashraf Alam2025-12-122025-12-122025-10-1097983373546209798337354644https://doi.org/10.4018/979-8-3373-5462-0.ch010https://gnanaganga.alliance.edu.in/handle/123456789/8768This chapter critically interrogates the integration of AI in geriatric care through the lens of education, positioning learning ecosystems as the foundational infrastructure for ethical, inclusive, and context-sensitive AI deployment. Drawing on global policy frameworks, cross-sectoral case studies, and pedagogical theory, it constructs a multi-tiered roadmap encompassing awareness, skill-building, and professionalisation across stakeholders. The chapter challenges technological determinism by reframing AI not as a neutral tool but as a socially contingent artefact shaped by educational design, equity concerns, and moral responsibility. Case studies from Japan, Finland, India, and South Korea demonstrate that successful AI implementation hinges less on technical sophistication than on educational imagination. It concludes by proposing lifelong, interdisciplinary, and justice-oriented learning strategies as prerequisites for meaningful AI adoption in ageing societies, asserting that without robust education, even the most advanced AI cannot ensure dignified and humane eldercare.enHuman-AIAgeing WorldGeriatric Care and EcologieArtificial Intelligencebook-chapter