Clyde Austin
Department of Computer Science, University of Chicago, Chicago, IL 60657, USA.
Data Science and Learning Division, Argonne National Laboratory, Lemont, IL 60439, USA.
Patterns (N Y). 2022 Feb 11;3(2):100446. doi: 10.1016/j.patter.2022.100446.
Artificial intelligence (AI) for science is a growing area of interdisciplinary computer science research focused on solving some of the most pressing global issues. While many cite AI's technical advances as the innovative force of the endeavor, I argue that interdisciplinarity, democratization, and cogent justification toward global citizens are driving forces to be fostered in the program's development.
用于科学研究的人工智能是跨学科计算机科学研究中一个不断发展的领域，专注于解决一些最紧迫的全球性问题。虽然许多人将人工智能的技术进步视为这一努力的创新力量，但我认为跨学科性、民主化以及对全球公民的有说服力的理由阐述才是该项目发展中需要培育的驱动力。
