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AI is evolving so fast that soon it might be able to take over scientific research...but what would that look like?

LEARN MORE

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To learn more about this topic, start your googling with these keywords:

• AI: the general ability of computers to emulate human thought and perform tasks in real-world environments
• Machine learning: a subset of artificial intelligence (AI) that allows systems to learn and improve from data without being explicitly programmed

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CREDITS

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Kate Yoshida | Script Writer, Narrator and Director Arcadi Garcia i Rius | Storyboard Artist Sarah Berman | Illustration, Video Editing and Animation Nathaniel Schroeder | Music

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OUR STAFF

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Lizah van der Aart • Sarah Berman • Cameron Duke Arcadi Garcia i Rius • David Goldenberg • Melissa Hayes Alex Reich • Henry Reich • Peter Reich Ever Salazar • Leonardo Souza • Kate Yoshida

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REFERENCES

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Lu, C., Lu, C., Lange, R. T., Foerster, J., Clune, J., & Ha, D. (2024). The ai scientist: Towards fully automated open-ended scientific discovery. arXiv preprint: https://arxiv.org/pdf/2408.06292

Messeri, L., Crockett, M.J. Artificial intelligence and illusions of understanding in scientific research. Nature 627, 49–58 (2024). https://doi.org/10.1038/s41586-024-07146-0

National Academies of Sciences, Engineering, and Medicine; Division on Engineering and Physical Sciences; Policy and Global Affairs; Computer Science and Telecommunications Board; Science and Engineering Capacity Development Unit (2024). AI for Scientific Discovery: Proceedings of a Workshop. Pool R, editor. Washington (DC): National Academies Press (US). https://doi.org/10.17226/27457

Urbina, F., Lentzos, F., Invernizzi, C. et al. Dual use of artificial-intelligence-powered drug discovery. Nat Mach Intell 4, 189–191 (2022). https://doi.org/10.1038/s42256-022-00465-9