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Silence is not golden when it comes to science and AI

The scope of scientific inquiry is contracting as research focuses on data-rich problems

The writer is vice-provost of research, innovation and global engagement at University College London

By conventional metrics, artificial intelligence in science is an unqualified success. My former doctoral student, Sir Demis Hassabis, received the Nobel Prize for Chemistry in 2024 for his work predicting protein structures using an AI model.

More broadly, a recent study of over 41mn research papers published in Nature found that scientists who adopt AI methods publish three times as many papers, attract five times more citations and reach leadership positions faster than those who do not.

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