Automating the Practice of Science -- Opportunities, Challenges, and Implications

Sebastian Musslick, Laura K. Bartlett, Suyog H. Chandramouli, Marina Dubova, Fernand Gobet, Thomas L. Griffiths, Jessica Hullman, Ross D. King, J. Nathan Kutz, Christopher G. Lucas, Suhas Mahesh, Franco Pestilli, Sabina J. Sloman, William R. Holmes
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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.
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科学实践自动化 -- 机遇、挑战和影响
自动化改变了人类文明的方方面面,使各行各业发生了革命性变化并简化了流程。在科学探究领域,自动化方法成为了强有力的工具,有望加速发现、提高可重复性并克服科学进步的传统障碍。本文对科学实践中的自动化范围进行了评估,并对最近的方法进行了评价。此外,本文还讨论了对以下问题的不同观点:科学实践自动化的最大机会在哪里? 科学实践自动化目前的瓶颈是什么?通过讨论自动化科学背后的动机、分析所遇到的瓶颈以及研究其影响,本文邀请研究人员、政策制定者和利益相关者共同探索快速发展的自动化科学实践前沿。
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