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Bridging near- and long-term concerns about AI

Nature Machine Intelligence volume 1, pages 5–6 (2019)Cite this article

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Debate about the impacts of AI is often split into two camps, one associated with the near term and the other with the long term. This divide is a mistake — the connections between the two perspectives deserve more attention, say Stephen Cave and Seán S. ÓhÉigeartaigh.

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References

  1. Baum, S. D. AI Soc. https://doi.org/10.1007/s00146-017-0734-3 (2017).

    Article  Google Scholar 

  2. Crawford, K. et al. The AI Now Report: The Social and Economic Implications of Artificial Intelligence Technologies in the Near-Term (AI Now, 2016); https://ainowinstitute.org/AI_Now_2016_Report.pdf

  3. Brundage, M. et al. Preprint at https://arxiv.org/abs/1802.07228 (2018).

  4. Dietterich, T. G. & Horvitz, E. J. Commun. ACM 58, 38–40 (2015).

    Article  Google Scholar 

  5. Frey, C. B. & Osborne, M. A. Technol. Forecast. Soc. Change 114, 254–280 (2017).

    Article  Google Scholar 

  6. Bostrom, N. Superintelligence: Paths, Dangers, Strategies (Oxford Univ. Press, Oxford, 2014).

    Google Scholar 

  7. Tegmark, M. Life 3.0. Being Human in the Age of Artificial Intelligence (Allen Lane, New York, 2017).

  8. Calo, R. Artificial Intelligence Policy: A Roadmap (UC Davis, Davis, 2017).

    Google Scholar 

  9. Williams, C. The Register https://www.theregister.co.uk/2015/03/19/andrew_ng_baidu_ai/ (2015).

  10. The Dawn of Artificial Intelligence (US Government Publishing Office, 2016); https://www.gpo.gov/fdsys/pkg/CHRG-114shrg24175/html/CHRG-114shrg24175.htm

  11. Russell, S., Dewey, D. & Tegmark, M. AI Magazine 36, 105–114 (Winter, 2015).

  12. Amodei, D. et al. Preprint at https://arxiv.org/abs/1606.06565 (2016).

  13. Owen, R. et al. in Responsible Innovation: Managing the Responsible Emergence of Science and Innovation in Society (eds Owen, R., Bessant, J. & Heintz, M.) 27–50 (Wiley, Chichester, 2013).

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Authors and Affiliations

  1. Leverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, UK

    Stephen Cave & Seán S. ÓhÉigeartaigh

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  1. Stephen Cave
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  2. Seán S. ÓhÉigeartaigh
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Correspondence to Stephen Cave or Seán S. ÓhÉigeartaigh.

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Cave, S., ÓhÉigeartaigh, S.S. Bridging near- and long-term concerns about AI. Nat Mach Intell 1, 5–6 (2019). https://doi.org/10.1038/s42256-018-0003-2

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