Artificial Intelligence in Science

Challenges, Opportunities and The Future or Research

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. Utilizing 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.


Katina Michael is a professor in the School of Computing and Augmented Intelligence, part of the Ira A. Fulton Schools of Engineering at Arizona State University, and in the School for the Future of Innovation in Society, part of ASU’s College of Global Futures. Michael’s research focuses predominantly on emerging technologies. Michael researchers the socioethical implications of emerging technologies with an emphasis on national security. She has a particular interest on the technological trajectory of implantable technologies.

Praise for this book

The real opportunity of AI is to help empower the human mind. Just like science, AI is a community creation (a cultural tool). The more inclusive, pluralistic and empowered the community, the more meaningful - and beautiful - will be the scientific outcomes. So AI is only as important to science as the diversity and agency of the community that informs it.

Andrew Robinson Founder and CEO, Guardians of Earth (