Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Public skepticism about the use of AI in scientific research
0
Zitationen
4
Autoren
2026
Jahr
Abstract
Generative AI tools are becoming common in scientific work, yet little is known about how the public – the taxpayers who fund much of this research – view their use. In a preregistered, nationally representative UK survey (N = 1,465), we find that the public is wary of AI-assisted research: While most respondents support public funding for scientific research in general (77%), support falls sharply when generative AI is involved (42%). This AI funding penalty is strongest among scientifically literate, politically liberal, younger, and female respondents. Moreover, 34–40% say they would trust both the science and the scientists less if generative AI was used during research. Although our findings do not indicate blanket rejection of AI in science, they point to a potential mismatch between scientific practice and public expectations, one that has implications for the social legitimacy of AI-assisted research and how it is governed and disclosed.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.485 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.371 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.827 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.549 Zit.