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.
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They also got a promise that generative AI will not be credited as an author.
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And studios cannot use AI to write or rewrite literary material. At the same time, authors can choose to use AI as a tool.
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The US (and the world) has more jobs today than it did at the start of the 21st century. At the same time, plenty of occupations have declined due to technology. In 2023, there were only 32,000 people working in word processing and typing occupations, a sharp fall from 282,000 in 2000. Similar trends were seen in larger occupations such as sales and office workers, a category that has shed 6 million jobs since the start of the century.
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