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| Format: | Preprint |
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2025
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| Online Access: | https://arxiv.org/abs/2507.03129 |
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| _version_ | 1866911038424743936 |
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| author | Maravilla, Nicholle Mae Amor Tan Tan, Myles Joshua Toledo |
| author_facet | Maravilla, Nicholle Mae Amor Tan Tan, Myles Joshua Toledo |
| contents | 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 intelligence (AI) and robotics in transforming geriatric care. While these technologies offer powerful tools for personalizing treatment, enhancing diagnostics, and enabling remote monitoring, their integration presents significant challenges. These include ethical concerns regarding data privacy and compassionate care, the need for human oversight to ensure accuracy, and practical barriers related to cost, interoperability, and user acceptance.
To navigate this demographic shift effectively, we conclude by advocating for a transdisciplinary framework that unites policymakers, healthcare professionals, engineers, ethicists, and community stakeholders. By co-creating solutions that ethically integrate technology and prioritize human dignity, societies can build resilient systems that promote healthy longevity and well-being for all generations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_03129 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | On Demographic Transformation: Why We Need to Think Beyond Silos Maravilla, Nicholle Mae Amor Tan Tan, Myles Joshua Toledo Computers and Society 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 intelligence (AI) and robotics in transforming geriatric care. While these technologies offer powerful tools for personalizing treatment, enhancing diagnostics, and enabling remote monitoring, their integration presents significant challenges. These include ethical concerns regarding data privacy and compassionate care, the need for human oversight to ensure accuracy, and practical barriers related to cost, interoperability, and user acceptance. To navigate this demographic shift effectively, we conclude by advocating for a transdisciplinary framework that unites policymakers, healthcare professionals, engineers, ethicists, and community stakeholders. By co-creating solutions that ethically integrate technology and prioritize human dignity, societies can build resilient systems that promote healthy longevity and well-being for all generations. |
| title | On Demographic Transformation: Why We Need to Think Beyond Silos |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2507.03129 |