Abstract
Researchers detail new data in Artificial Intelligence. According to news reporting out of Montreal, Canada, by NewsRx editors, research stated, “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.” Financial support for this research came from Social Sciences and Humanities Research Council of Canada (SSHRC). Our news journalists obtained a quote from the research from McGill University, “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.”
NETL
NSTL
Sage