Who are the publics engaging in AI

Bibliographic Data

ID20403049
AuthorsRoy Sieber (0000-0002-0720-3498, corresponding author), Ana Brandusescu (0000-0003-1672-5244, McGill University), Abigail Adu-Daako (0009-0002-0397-4903, University of California, Berkeley), Suthee Sangiambut (0000-0003-4661-4422, McGill University)
Year2024
Volume33
Issue5
Pages634-653
Publication date2024-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePublic Understanding of Science (JOURNAL)
Journal identifiersISSN: 0963-6625 • E-ISSN: 1361-6609
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/09636625231219853
PMID38282355
OpenAlexW4391321383
LanguageEN
Citations received5
References cited58

Given the importance of public engagement in governments’ adoption of artificial intelligence systems, artificial intelligence researchers and practitioners spend little time reflecting on who those publics are. Classifying publics affects assumptions and affordances attributed to the publics’ ability to contribute to policy or knowledge production. Further complicating definitions are the publics’ role in artificial intelligence production and optimization. Our structured analysis of the corpus used a mixed method, where algorithmic generation of search terms allowed us to examine approximately 2500 articles and provided the foundation to conduct an extensive systematic literature review of approximately 100 documents. Results show the multiplicity of ways publics are framed, by examining and revealing the different semantic nuances, affordances, political and expertise lenses, and, finally, a lack of definitions. We conclude that categorizing publics represents an act of power, politics, and truth-seeking in artificial intelligence

Affordance · Human–computer interaction · Political science · Politics · Public relations · Publics · Sociology · Computer Science · Ethics and Social Impacts of AI · Information Systems Theories and Implementation · Law · Privacy, Security, and Data Protection

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