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- W4382072613 abstract "Rapid developments in artificial intelligence and the mainstreaming of generative AI have raised vital questions about the future of science. AI techniques present significant potential for enhancing scientific research, but also risks of bias, inequity, and eroding originality. Approaching AI as a methodology rather than a technology can help manage the tension between promise and peril, anchoring AI efficacy and ethics in processes of AI design and use. An “AI thinking” perspective can help scientists achieve richer analysis, more open science, and constructive use of generative AI while helping manage risk of harm. Adopting AI thinking requires diverse efforts in education, AI tools, and new public narratives, but these efforts will be rewarded with new approaches to AI as a fundamental toolbox for contemporary science." @default.
- W4382072613 created "2023-06-27" @default.
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- W4382072613 date "2023-06-25" @default.
- W4382072613 modified "2023-09-24" @default.
- W4382072613 title "AI thinking and the enterprise of science" @default.
- W4382072613 doi "https://doi.org/10.31219/osf.io/wb83e" @default.
- W4382072613 hasPublicationYear "2023" @default.
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