Automating the practice of science: Opportunities, challenges, and implications
Abstract
Automation transformed various aspects of our human civilization, revolutionizing industries and streamlining processes. In the domain of scientific inquiry, automated approaches emerged as powerful tools, holding promise for accelerating discovery, enhancing reproducibility, and overcoming the traditional impediments to scientific progress. This article evaluates the scope of automation within scientific practice and assesses recent approaches. Furthermore, it discusses different perspectives to the following questions: where do the greatest opportunities lie for automation in scientific practice?; What are the current bottlenecks of automating scientific practice?; and What are significant ethical and practical consequences of automating scientific practice? By discussing the motivations behind automated science, analyzing the hurdles encountered, and examining its implications, this article invites researchers, policymakers, and stakeholders to navigate the rapidly evolving frontier of automated scientific practice.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (14)
Sebastian Musslick
Institute for Cognitive Science
Laura K. Bartlett
Centre for Philosophy of Natural and Social Science, The London School of Economics and Political Science
Suyog H. Chandramouli
Department of Information and Computer Engineering
Marina Dubova
Cognitive Science Program, Indiana University
Fernand Gobet
Centre for Philosophy of Natural and Social Science, The London School of Economics and Political Science
Thomas L. Griffiths
Jessica Hullman
Department of Computer Science, Northwestern University
Ross D. King
Department of Chemical Engineering and Biotechnology, University of Cambridge
J. Nathan Kutz
Christopher G. Lucas
School of Informatics, University of Edinburgh
Suhas Mahesh
Department of Materials Science and Engineering, University of Toronto
Franco Pestilli
Department of Psychology
Sabina J. Sloman
Department of Computer Science, University of Manchester
William R. Holmes
Cognitive Science Program, Indiana University