Population health AI researchers’ perceptions of the public portrayal of AI: A pilot study
| Autor: | Heilien Diedericks, Gabrielle Samuel, Gemma Derrick |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Canada
interviews Higher education media_common.quotation_subject Pilot Projects 050801 communication & media studies Population health hype 050905 science studies Newspaper 0508 media and communications Arts and Humanities (miscellaneous) Perception Developmental and Educational Psychology health technology digital data media_common Medical education Population Health business.industry Canadian population Communication media 05 social sciences Uncertainty Health technology health Articles artificial intelligence AI 0509 other social sciences newspaper Psychology business qualitative research expectations Qualitative research |
| Zdroj: | Public Understanding of Science (Bristol, England) |
| ISSN: | 1361-6609 0963-6625 |
| DOI: | 10.1177/0963662520965490 |
| Popis: | This article reports how 18 UK and Canadian population health artificial intelligence researchers in Higher Education Institutions perceive the use of artificial intelligence systems in their research, and how this compares with their perceptions about the media portrayal of artificial intelligence systems. This is triangulated with a small scoping analysis of how UK and Canadian news articles portray artificial intelligence systems associated with health research and care. Interviewees had concerns about what they perceived as sensationalist reporting of artificial intelligence systems – a finding reflected in the media analysis. In line with Pickersgill’s concept of ‘epistemic modesty’, they considered artificial intelligence systems better perceived as non-exceptionalist methodological tools that were uncertain and unexciting. Adopting ‘epistemic modesty’ was sometimes hindered by stakeholders to whom the research is disseminated, who may be less interested in hearing about the uncertainties of scientific practice, having implications on both research and policy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|