Evidence map›Paper›PMID 38700416›Full record

ArticleThe Gerontologist2024

Addressing the Black Box of AI-A Model and Research Agenda on the Co-constitution of Aging and Artificial Intelligence.

Vera Gallistl, Muneeb Ul Lateef Banday, Clara Berridge, Alisa Grigorovich, Juliane Jarke, Ittay Mannheim, Barbara Marshall, Wendy Martin, Tiago Moreira, Catharina Margaretha Van Leersum and 1 more

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In one paragraph

Article in The Gerontologist, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Vera GallistlDivision Gerontology and Health Research, Karl Landsteiner University of Health Sciences, Krems, Austria.ORCID 0000-0002-0116-0677
Muneeb Ul Lateef BandayInterdisciplinary Center for Gender Studies, Switzerland and Goa Institute for Management, University of Bern, Goa, India.ORCID 0000-0003-0612-0620
Clara BerridgeSchool of Social Work, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-4218-9556
Alisa GrigorovichRecreation and Leisure Studies Department, Brock University, St. Catharines, Ontario, Canada.ORCID 0000-0001-5363-7396
Juliane JarkeUniversity of Graz, Graz, Austria.
Ittay MannheimDepartment of Communication Studies, Ben-Gurion University of the Negev, Beer-Sheva, Israel.ORCID 0000-0003-4304-433X
Barbara MarshallDepartment of Sociology, Trent University, Peterborough, Ontario, Canada.
Wendy MartinDepartment of Health Sciences, Brunel University London, Uxbridge, Middlesex, UK.
Tiago MoreiraDepartment of Sociology, Durham University, Durham, UK.
Catharina Margaretha Van LeersumDepartment of Digital Culture, Innovation and Communication, Faculty of Humanities, Open University of the Netherlands, Heerlen, Limburg, The Netherlands.
Alexander PeineDepartment of Digital Culture, Innovation and Communication, Faculty of Humanities, Open University of the Netherlands, Heerlen, Limburg, The Netherlands.

Funding

Canadian Institute for Health Research 155188Social Science and Humanities Research Council of Canada 435-2017-1343State of Lower Austria 10.47379/ICT20055Vienna Science and Technology Fund
6 · The paper itself

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.

Indexed as

AgingArtificial IntelligenceGeriatricsAgedHumansAgeismAlgorithmDataficationGerontechnology

Identifiers

PMID38700416
PMCPMC11134299

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.