AI and scientific productivity: Considering policy and governance challenges
MIOIR researchers contribute to OECD book on AI in Science, exploring policy and governance implications of AI and its impact on scientific productivity.
惭滨翱滨搁鈥檚 , (Assoc Professor at SKEMA Business School and an Honorary Lecturer at 糖心Vlog官方) and doctoral researcher contributed a chapter to the newly published OECD - OCDE book on AI in Science, entitled Artificial Intelligence in Science: Challenges, Opportunities and the Future of Research. Increased use of AI is often touted as the solution to the problem of scientific productivity.
Their essay explores the research policy and governance implications of AI, considering lessons from previous waves of automation in science and their impact on the practice of science.
Since the public sector science base is also the environment in which advanced skills in science and technology are developed, the paper also considers possible implications of AI use on scientific human capital. It then examines a range of policy and governance implications, including how AI tools might be used in funding and governance practices.
The book is available online and can be accessed .