IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v538y2016i7625d10.1038_538311a.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/538311a
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/538311a?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Naudé, Wim & Dimitri, Nicola, 2021. "Public Procurement and Innovation for Human-Centered Artificial Intelligence," IZA Discussion Papers 14021, Institute of Labor Economics (IZA).
    2. 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).
    3. Nils Köbis & Jean-François Bonnefon & Iyad Rahwan, 2021. "Bad machines corrupt good morals," Nature Human Behaviour, Nature, vol. 5(6), pages 679-685, June.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Mateos-Garcia, Juan, 2017. "To Err is Algorithm: Algorithmic fallibility and economic organisation," SocArXiv xuvf9, Center for Open Science.
    12. 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.
    13. 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.
    14. 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.
    15. Buhmann, Alexander & Fieseler, Christian, 2021. "Towards a deliberative framework for responsible innovation in artificial intelligence," Technology in Society, Elsevier, vol. 64(C).
    16. 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.
    17. Fábio Duarte & Ricardo Álvarez, 2019. "The data politics of the urban age," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-7, December.
    18. 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.
    19. Khalid Alshehhi & Ali Cheaitou & Hamad Rashid, 2024. "Procurement of Artificial Intelligence Systems in UAE Public Sectors: An Interpretive Structural Modeling of Critical Success Factors," Sustainability, MDPI, vol. 16(17), pages 1-20, September.
    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.
    22. 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).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:538:y:2016:i:7625:d:10.1038_538311a. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.