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There is a blind spot in AI research

Author

Listed:
  • Kate Crawford

    (Kate Crawford is a principal researcher at Microsoft Research in New York City, a visiting professor at the Massachusetts Institute of Technology in Cambridge, Massachusetts, and a senior research fellow at New York University, New York, USA.)

  • Ryan Calo

    (Ryan Calo is an assistant professor of law and of information science (by courtesy), and faculty co-director of the Tech Policy Lab at the University of Washington, Seattle, Washington, USA.)

Abstract

Fears about the future impacts of artificial intelligence are distracting researchers from the real risks of deployed systems, argue Kate Crawford and Ryan Calo.

Suggested Citation

  • Kate Crawford & Ryan Calo, 2016. "There is a blind spot in AI research," Nature, Nature, vol. 538(7625), pages 311-313, October.
    • Handle: RePEc:nat:nature:v:538:y:2016:i:7625:d:10.1038_538311a
    DOI: 10.1038/538311a
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    Cited by:

    1. Latham, Alan & Nattrass, Michael, 2019. "Autonomous vehicles, car-dominated environments, and cycling: Using an ethnography of infrastructure to reflect on the prospects of a new transportation technology," Journal of Transport Geography, Elsevier, vol. 81(C).
    2. Nils Köbis & Jean-François Bonnefon & Iyad Rahwan, 2021. "Bad machines corrupt good morals," Nature Human Behaviour, Nature, vol. 5(6), pages 679-685, June.
    3. Peter Seele & Mario D. Schultz, 2022. "From Greenwashing to Machinewashing: A Model and Future Directions Derived from Reasoning by Analogy," Journal of Business Ethics, Springer, vol. 178(4), pages 1063-1089, July.
    4. Solarte-Vásquez María Claudia & Nyman-Metcalf Katrin, 2017. "Smart Contracting: A Multidisciplinary and Proactive Approach for the EU Digital Single Market," TalTech Journal of European Studies, Sciendo, vol. 7(2), pages 208-246, October.
    5. Jon Truby, 2020. "Governing Artificial Intelligence to benefit the UN Sustainable Development Goals," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 946-959, July.
    6. Hemant Jain & Balaji Padmanabhan & Paul A. Pavlou & T. S. Raghu, 2021. "Editorial for the Special Section on Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society," Information Systems Research, INFORMS, vol. 32(3), pages 675-687, September.
    7. Jean-Marie John-Mathews & Dominique Cardon & Christine Balagué, 2022. "From Reality to World. A Critical Perspective on AI Fairness," Journal of Business Ethics, Springer, vol. 178(4), pages 945-959, July.
    8. Veljko Dubljevic & George List & Jovan Milojevich & Nirav Ajmeri & William A Bauer & Munindar P Singh & Eleni Bardaka & Thomas A Birkland & Charles H W Edwards & Roger C Mayer & Ioan Muntean & Thomas , 2021. "Toward a rational and ethical sociotechnical system of autonomous vehicles: A novel application of multi-criteria decision analysis," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-17, August.
    9. Buhmann, Alexander & Fieseler, Christian, 2021. "Towards a deliberative framework for responsible innovation in artificial intelligence," Technology in Society, Elsevier, vol. 64(C).
    10. Desmond U. Patton & William R. Frey & Michael Gaskell, 2019. "Guns on social media: complex interpretations of gun images posted by Chicago youth," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-8, December.
    11. Fábio Duarte & Ricardo Álvarez, 2019. "The data politics of the urban age," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-7, December.
    12. Michael Haenlein & Ming-Hui Huang & Andreas Kaplan, 2022. "Guest Editorial: Business Ethics in the Era of Artificial Intelligence," Journal of Business Ethics, Springer, vol. 178(4), pages 867-869, July.
    13. Steve J. Bickley & Alison Macintyre & Benno Torgler, 2021. "Safety in Smart, Livable Cities: Acknowledging the Human Factor," CREMA Working Paper Series 2021-17, Center for Research in Economics, Management and the Arts (CREMA).
    14. Naudé, Wim & Dimitri, Nicola, 2021. "Public Procurement and Innovation for Human-Centered Artificial Intelligence," IZA Discussion Papers 14021, Institute of Labor Economics (IZA).
    15. Alexandru Constantin Ciobanu & Gabriela Meè˜Nièšä‚, 2021. "Ai Ethics In Business €“ A Bibliometric Approach," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 28, pages 169-202, December.
    16. Rhys Samuel Davies & Marianne Julia Davies & David Groves & Keith Davids & Eric Brymer & Allan Trench & John Paul Sykes & Michael Dentith, 2021. "Learning and Expertise in Mineral Exploration Decision-Making: An Ecological Dynamics Perspective," IJERPH, MDPI, vol. 18(18), pages 1-18, September.
    17. Mateos-Garcia, Juan, 2017. "To Err is Algorithm: Algorithmic fallibility and economic organisation," SocArXiv xuvf9, Center for Open Science.
    18. Emilio M. Santandreu & Joaquín López Pascual & Salvador Cruz Rambaud, 2020. "Determinants of Repayment among Male and Female Microcredit Clients in the USA. An Approach Based on Managers’ Perceptions," Sustainability, MDPI, vol. 12(5), pages 1-17, February.
    19. Salih Tutun & Marina E. Johnson & Abdulaziz Ahmed & Abdullah Albizri & Sedat Irgil & Ilker Yesilkaya & Esma Nur Ucar & Tanalp Sengun & Antoine Harfouche, 2023. "An AI-based Decision Support System for Predicting Mental Health Disorders," Information Systems Frontiers, Springer, vol. 25(3), pages 1261-1276, June.
    20. Noah Castelo & Adrian F Ward, 2021. "Conservatism predicts aversion to consequential Artificial Intelligence," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-19, December.
    21. Roman Lukyanenko & Wolfgang Maass & Veda C. Storey, 2022. "Trust in artificial intelligence: From a Foundational Trust Framework to emerging research opportunities," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 1993-2020, December.

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