AI Article Synopsis

  • The study critiques the current approach of gerontology towards Artificial Intelligence (AI), highlighting that it often treats AI as a 'black box,' limiting its potential for deeper understanding.
  • It identifies three key areas—datafication of aging, the political economy of AI and aging, and everyday experiences with AI in later life—where gerontological concepts can be applied to explore the complexities of aging and AI.
  • The final proposition suggests a model for examining the interplay between aging and AI, aiming to move beyond simplistic views and deepen the theoretical engagement in gerontological research.

Article Abstract

Algorithmic technologies and (large) data infrastructures, often referred to as Artificial Intelligence (AI), have received increasing attention from gerontological research in the last decade. Although there is much literature that dissects and explores the development, application, and evaluation of AI relevant to gerontology, this study makes a novel contribution by critically engaging with the theorizing in this growing field of research. We observe that gerontology's engagement with AI is shaped by an interventionist logic that situates AI as a black box for gerontological research. We demonstrate how this black box logic has neglected many aspects of AI as a research topic for gerontology and discuss three classical concepts in gerontology to show how they can be used to open various black boxes of aging and AI in the areas: (a) the datafication of aging, (b) the political economy of AI and aging, and (c) everyday engagements and embodiments of AI in later life. In the final chapter, we propose a model of the co-constitution of aging and AI that makes theoretical propositions to study the relational terrain between aging and AI and hence aims to open the black box of AI in gerontology beyond interventionist logic.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11134299PMC
http://dx.doi.org/10.1093/geront/gnae039DOI Listing

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