Artificial Intelligence Must Be Made More Scientific.

Journal: Journal of chemical information and modeling
Published Date: Jul 27, 2024

Abstract

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.

Authors

  • Peter V Coveney
    Centre for Computational Science, Department of Chemistry, University College London, London WC1H 0AJ, U.K.
  • Roger Highfield
    Science Museum, Exhibition Road, London SW7 2DD, U.K.

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