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Nobel Turing Challenge: creating the engine for scientific discovery

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Kitano, Hiroaki·2021·npj Systems Biology and Applications
DOI 10.1038/s41540-021-00189-3PMC PMC8213706
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Abstract

Scientific discovery has long been one of the central driving forces in our civilization. It uncovered the principles of the world we live in, and enabled us to invent new technologies reshaping our society, cure diseases, explore unknown new frontiers, and hopefully lead us to build a sustainable society. Accelerating the speed of scientific discovery is therefore one of the most important endeavors. This requires an in-depth understanding of not only the subject areas but also the nature of scientific discoveries themselves. In other words, the “science of science” needs to be established, and has to be implemented using artificial intelligence (AI) systems to be practically executable. At the same time, what may be implemented by “AI Scientists” may not resemble the scientific process conducted by human scientist. It may be an alternative form of science that will break the limitation of current scientific practice largely hampered by human cognitive limitation and sociological constraints. It could give rise to a human-AI hybrid form of science that shall bring systems biology and other sciences into the next stage. The Nobel Turing Challenge aims to develop a highly autonomous AI system that can perform top-level science, indistinguishable from the quality of that performed by the best human scientists, where some of the discoveries may be worthy of Nobel Prize level recognition and beyond.

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Sorted by citations

Authors
Kitano, H.
Affiliations
Okinawa Institute of Science and Technology Graduate University (JP)
Corresponding author
Kitano, Hiroaki
ORCID
Kitano, Hiroaki
Venue
npj Systems Biology and Applications
Publisher
Springer Science and Business Media LLC
Published
2021-06-18
Volume
7
Issue
1
Pages
29-29
ISSN
2056-7189 (ISSN-L)
DOI
10.1038/s41540-021-00189-3
PMC
PMC8213706
OpenAlex
W3170949898
Cited by
149
References
10
Citations by year
2026: 49 · 2025: 30 · 2024: 33 · 2023: 25 · 2022: 10 · 2021: 2
FWCI
1.20
Type
journal article
Language
en
Open access
Licence
Locations
  • npj Systems Biology and Applications (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Institutional Repositories DataBase (IRDB) (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Okinawa Institute of Science and Technology Graduate University (Okinawa Institute of Science and Technology Graduate University) (submittedVersion, cc-by-nc-nd)
Funders
United States Department of Defense | United States Navy | ONR | Office of Naval Research Global
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Social Sciences › Decision Sciences › Information Systems and Management › Research, Science, and Academia
  • Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
Keywords
AI scientists, autonomous AI systems, science of science, scientific discovery acceleration, artificial intelligence in science, systems biology
MeSH terms
Artificial Intelligence, Humans, Nobel Prize

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