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Artificial Intelligence in Science

Challenges, Opportunities and the Future of Research

image of Artificial Intelligence in Science

The rapid advances of artificial intelligence (AI) in recent years have led to numerous creative applications in science. Accelerating the productivity of science could be the most economically and socially valuable of all the uses of AI. Utilising AI to accelerate scientific productivity will support the ability of OECD countries to grow, innovate and meet global challenges, from climate change to new contagions.

This publication is aimed at a broad readership, including policy makers, the public, and stakeholders in all areas of science. It is written in non-technical language and gathers the perspectives of prominent researchers and practitioners. The book examines various topics, including the current, emerging, and potential future uses of AI in science, where progress is needed to better serve scientific advancements, and changes in scientific productivity.

Additionally, it explores measures to expedite the integration of AI into research in developing countries.

A distinctive contribution is the book’s examination of policies for AI in science. Policy makers and actors across research systems can do much to deepen AI’s use in science, magnifying its positive effects, while adapting to the fast-changing implications of AI for research governance.

English

Artificial intelligence in science: Overview and policy proposals

This book addresses the current and emerging roles of artificial intelligence (AI) in science. Accelerating the productivity of research could be the most economically and socially valuable of all AI’s uses. AI and its various subdisciplines are pervading every field and stage of the scientific process. Advances in AI have led to an outpouring of creative uses in research. However, AI’s potential contribution to science is far from realised, and the impact of some widely hailed achievements may be less than is generally thought. AI, for instance, contributed little to research and treatment during the COVID-19 pandemic. Moreover, policy makers and other actors in research systems can do much to speed and broaden the uptake of AI in science, and to magnify its positive contributions to science and society.

English

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