Fears about the future impacts of artificial intelligence are distracting researchers from the real risks of deployed systems, argue Kate Crawford and Ryan Calo.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 51 print issues and online access
$199.00 per year
only $3.90 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Domingos, P. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Allen Lane, 2015).
Barocas, S. & Selbst, A. D. Calif. Law Rev. 104, 671–732 (2016).
Sweeney, L. Discrimination in Online Ad Delivery (2013); available at http://dx.doi.org/10.2139/ssrn.2208240
Armstrong, S. & Orseau, L. in Uncertainty in Artificial Intelligence: Proceedings of the Thirty-Second Conference (eds Ihler, A. & Janzing, D.) 557–566 (AUAI Press, 2016); available at http://go.nature.com/2drokil
Friedman, B., Kahn, P. H. & Borning, A. in Human–Computer Interaction in Management Information Systems: Foundation (eds Zhang, P. & Galletta, D.) 348–372 (M. E. Sharpe, 2006); available at http://go.nature.com/2dee8om
Bostrom, N. Superintelligence: Paths, Dangers, Strategies (Oxford Univ. Press, 2016).
Lin, P. in Autonomes Fahren: Technische, Rechtliche und Gesellschaftliche Aspekte (eds Maurer, M., Gerdes, J. C., Lenz, B. & Winner, H.) 69–85 (Springer, 2015); available at http://doi.org/brdw
Saunders, J., Hunt, P. & Hollywood, J. S. J. Exp. Criminol. 12, 347–371 (2016).
Caruana, R. et al. ‘Intelligible models for healthcare: predicting pneumonia risk and hospital 30-day readmission’ Proc. 21th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining 1721–1730 (ACM, 2015).
Crawford, K. et al. The AI Now Report: The Social and Economic Implications of Artificial Intelligence Technologies in the Near-Term (2016); available at http://artificialintelligencenow.com
Author information
Authors and Affiliations
Corresponding authors
Additional information
Related links
Related links
Related links in Nature Research
Can we open the black box of AI? 2016-Oct-05
AI talent grab sparks excitement and concern 2016-Apr-26
Anticipating artificial intelligence 2016-Apr-26
What Google’s winning Go algorithm will do next 2016-Mar-15
A world where everyone has a robot: why 2040 could blow your mind 2016-Feb-24
Google AI algorithm masters ancient game of Go 2016-Jan-27
Robotics: Ethics of artificial intelligence 2015-May-27
Nature Insight: Machine intelligence
Related external links
Rights and permissions
About this article
Cite this article
Crawford, K., Calo, R. There is a blind spot in AI research. Nature 538, 311–313 (2016). https://doi.org/10.1038/538311a
Published:
Issue Date:
DOI: https://doi.org/10.1038/538311a
This article is cited by
-
Facial profiling technology and discrimination: a new threat to civil rights in liberal democracies
Philosophical Studies (2024)
-
Reducing the contingency of the world: magic, oracles, and machine-learning technology
AI & SOCIETY (2024)
-
An AI-based Decision Support System for Predicting Mental Health Disorders
Information Systems Frontiers (2023)
-
Designing value-sensitive AI: a critical review and recommendations for socio-technical design processes
AI and Ethics (2023)
-
A Responsible AI Framework for Mitigating the Ramifications of the Organ Donation Crisis
Information Systems Frontiers (2023)