Levels of Autonomy in Science Automation
DOI:
https://doi.org/10.51094/jxiv.818Keywords:
Artificial intelligence, AI-driven science, Automation of scienceAbstract
Artificial Intelligence (AI) in scientific and technological research is anticipated to be one of the fields with the most significant ripple effects among long-term AI applications. When AI is viewed as a form of automation technology, its utility is proportional to the extent to which it can reduce or simplify human operation and instruction. Consequently, the efficacy of scientific AI is considered to be closely related to its autonomy. This paper proposes a seven-level autonomy scale, ranging from 0 to 6, for scientific AI, primarily focusing on experimental science fields. This proposal draws inspiration from the autonomy levels for automated driving systems as defined by the Society of Automotive Engineers (SAE). This article discusses the definition of each level, the milestones for their realization, and their potential impacts on academia, technology, and society.
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Published: 2024-10-15 09:20:52 UTC
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Koichi Takahashi
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