On Demographic Transformation: Why We Need to Think Beyond Silos
Nicholle Mae Amor Tan Maravilla, Myles Joshua Toledo Tan

TL;DR
This paper emphasizes the need for a comprehensive, transdisciplinary approach to address the complex demographic changes in aging populations, highlighting the potential and challenges of AI and robotics in geriatric care.
Contribution
It advocates for a unified framework integrating policy, technology, and ethics to effectively manage demographic transformation and improve elderly care.
Findings
AI and robotics can personalize treatment and improve diagnostics.
Technological integration faces ethical, practical, and acceptance challenges.
Fragmented policies are inadequate for complex demographic issues.
Abstract
Developed nations are undergoing a profound demographic transformation, characterized by rapidly aging populations and declining birth rates. This dual trend places unprecedented strain on healthcare systems, economies, and social support structures, creating complex biological, economic, and social challenges. This paper argues that current, often siloed, policy responses, such as pronatalist initiatives that overlook the equally urgent needs of older adults, are inadequate for addressing these interconnected issues. We propose that a comprehensive, transdisciplinary framework is essential for developing sustainable and ethical solutions. Through a review of demographic drivers, policy responses, and technological advancements, we analyze the limitations of fragmented approaches and explore the potential of innovative interventions. Specifically, we examine the role of artificial…
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