Artificial Intelligence Must Be Made More Scientific

被引：1

作者：

Coveney, Peter, V ^{[1
,2
,3
,4
]}

Highfield, Roger ^{[5
,6
,7
]}

机构：

[1] UCL, Ctr Computat Sci, Dept Chem, London WC1H 0AJ, England

[2] UCL, Adv Res Comp Ctr, London WC1H 0AJ, England

[3] Univ Amsterdam, Inst Informat, Fac Sci, NL-1098XH Amsterdam, Netherlands

[4] Ludwig Maximilian Univ Munich, Ctr Adv Studies, D-80539 Munich, Germany

[5] Sci Museum London, London SW7 2DD, England

[6] Univ Oxford, Sir William Dunn Sch Pathol, Oxford OX1 3RE, England

[7] UCL, Dept Chem, London WC1H 0AJ, England

来源：

JOURNAL OF CHEMICAL INFORMATION AND MODELING | 2024年 / 64卷 / 15期

关键词：

Compendex;

D O I：

10.1021/acs.jcim.4c01091

中图分类号：

R914 [药物化学];

学科分类号：

100701 ;

摘要：

The role of AI within science is growing. Here we assess its impact on research and argue that AI often lacks reproducibility, transparency, objectivity, and mechanistic understanding. To ensure AI benefits research, we need to develop forms of AI that are fully compatible with the scientific method.

引用

页码：5739 / 5741

页数：3

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