TY - JOUR
T1 - Automating the practice of science
T2 - Opportunities, challenges, and implications
AU - Musslick, Sebastian
AU - Bartlett, Laura K.
AU - Chandramouli, Suyog H.
AU - Dubova, Marina
AU - Gobet, Fernand
AU - Griffiths, Thomas L.
AU - Hullman, Jessica
AU - King, Ross D.
AU - Kutz, J. Nathan
AU - Lucas, Christopher G.
AU - Mahesh, Suhas
AU - Pestilli, Franco
AU - Sloman, Sabina J.
AU - Holmes, William R.
N1 - Publisher Copyright:
Copyright © 2025 the Author(s).
PY - 2025/2/4
Y1 - 2025/2/4
N2 - 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.
AB - 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.
KW - AI for science
KW - automation
KW - computational scientific discovery
KW - metascience
UR - http://www.scopus.com/inward/record.url?scp=85216932659&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85216932659&partnerID=8YFLogxK
U2 - 10.1073/pnas.2401238121
DO - 10.1073/pnas.2401238121
M3 - Article
C2 - 39869810
AN - SCOPUS:85216932659
SN - 0027-8424
VL - 122
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 5
M1 - e2401238121
ER -