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

TL;DR

This paper explores the potential, challenges, and implications of automating scientific practice, emphasizing opportunities for acceleration, reproducibility, and ethical considerations in automated research methods.

Contribution

It provides a comprehensive evaluation of automation in science, analyzing recent approaches, opportunities, bottlenecks, and ethical implications for future research and policy.

Findings

Automation can accelerate scientific discovery.

Reproducibility improves with automation.

Ethical and practical challenges need addressing.

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.