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The private sector is hoarding AI researchers: what implications for science?
15 references·2 citing·53 second hop
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References

  • 2019Principles alone cannot guarantee ethical AI1,869 cited
  • 2012How Economics Shapes Science974 cited
  • 2018AI can be sexist and racist — it’s time to make it fair764 cited
  • 2011Incentives and creativity: evidence from the academic life sciences651 cited
  • 2019The wrong kind of AI? Artificial intelligence and the future of labour demand633 cited
  • 2013Discrimination in Online Ad Delivery477 cited
  • 2014Creativity in scientific teams: Unpacking novelty and impact362 cited
  • 2016Algorithmic Bias334 cited
  • 2019The evolution of citation graphs in artificial intelligence research139 cited
  • 2023Artificial Intelligence, Education, and Entrepreneurship132 cited
  • 2017Creating Incentives for Innovation104 cited
  • 2017The retreat of public research and its adverse consequences on innovation92 cited
  • 2023The Gradient of Generative AI Release: Methods and Considerations90 cited
  • 2019Do we measure novelty when we analyze unusual combinations of cited references? A validation study of bibliometric novelty indicators based on F1000Prime data67 cited
  • 2020A Narrowing of AI Research?55 cited

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Cited by

  • 2026AI in science: When and where it makes a difference12 cited
  • 2026The OpenAlex database in review: Evaluating its applications, capabilities, and limitations9 cited