Forgetfulness, Aging, and AI

Lara Sude Tarhan

doi:10.62802/39bma616

Authors

Lara Sude Tarhan Author https://orcid.org/0009-0008-7860-1013

DOI:

https://doi.org/10.62802/39bma616

Keywords:

Aging, forgetfulness, cognitive health, AI in healthcare, memory assistance, ethical AI, human-centered design, gerontechnology

Abstract

Aging is often accompanied by cognitive changes, including forgetfulness, which can impact an individual's quality of life and independence. Recent advancements in Artificial Intelligence (AI) have opened avenues for addressing these challenges by developing tools to support cognitive health and memory. AI-powered systems, such as memory assistance devices, predictive diagnostic tools, and personalized cognitive training programs, offer transformative potential for mitigating the effects of aging-related forgetfulness. This paper explores how AI can bridge gaps in traditional cognitive care, emphasizing a human-centered approach that prioritizes ethical considerations, user-friendliness, and inclusivity. By analyzing case studies and examining interdisciplinary methodologies, the research highlights both the opportunities and challenges in leveraging AI to enhance cognitive health. The findings underscore the importance of collaboration between AI developers, healthcare providers, and end-users to create solutions that are effective, accessible, and empathetic. The integration of AI into cognitive care holds promise not only for improving memory retention but also for fostering dignity and autonomy among aging populations.

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