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Engineering social concepts

Feasibility and causal models

Bibliographic Data

ID10347820
AuthorsE Neufeld (0000-0001-5182-4649, Department of Philosophy University of Massachusetts Amherst, corresponding author)
Year2024
Volume109
Issue3
Pages819-837
Publication date2024-06-05
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePhilosophy and Phenomenological Research (JOURNAL)
Journal identifiersISSN: 0031-8205 • E-ISSN: 1933-1592
PublisherWiley (PUBLISHER • GB)
DOI10.1111/phpr.13064
OpenAlexW4399361215
LanguageEN
Citations received3
References cited95

How feasible are conceptual engineering projects of social concepts that aim for the engineered concept to be deployed in people's ordinary conceptual practices? Predominant frameworks on the psychology of concepts that shape work on stereotyping, bias, and machine learning have grim implications for the prospects of conceptual engineers: conceptual engineering efforts are ineffective in promoting certain social‐conceptual changes. Since conceptual components that give rise to problematic social stereotypes are sensitive to statistical structures of the environment, purely conceptual change won't be possible without corresponding world change. This tradition, however, tends to ignore that concepts don't only encode statistical, but also causal information. Paying attention to this feature of concepts, I argue, shows that conceptual engineering is not only possible. There is an imperative to conceptually‐engineer

Causal model · Cognitive science · Epistemology · Management science · Sociology · Complex Systems and Decision Making · Computer Science · Engineering · Ethics and Social Impacts of AI · Information Systems Theories and Implementation · Mathematics · Philosophy · Psychology

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Unique citing works3
Citations per year1.5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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