As artificial intelligence becomes prevalent in society, a framework is needed to connect interpretability and trust in algorithm-assisted decisions, for a range of stakeholders.
This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
Should AI allocate livers for transplant? Public attitudes and ethical considerations
BMC Medical Ethics Open Access 27 November 2023
-
Public attitudes value interpretability but prioritize accuracy in Artificial Intelligence
Nature Communications Open Access 03 October 2022
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 digital issues and online access to articles
$119.00 per year
only $9.92 per issue
Rent or buy this article
Prices vary by article type
from$1.95
to$39.95
Prices may be subject to local taxes which are calculated during checkout
References
Stone, P. et al. One Hundred Year Study on Artificial Intelligence: Report of the 2015–2016 Study Panel (Stanford Univ., 2016).
New York City Automated Decision Systems Task Force Report (NYC.gov, 2019).
Rovatsos, M. Nat. Mach. Intell 1, 497–498 (2019).
Selbst, A. & Barocas, S. Fordham L. Rev 87, 1085–1139 (2018).
Guidotti, R. et al. ACM Comput. Surv. 51, 93 (2019).
Bobocel D. R., Gosse, L. The Oxford Handbook of Justice in the Workplace (Oxford Univ. Press, 2015).
Shapiro, E. The New York Times http://www.nytimes.com/2019/03/18/nyregion/black-students-nyc-high-schools.html (2019).
Lee, M. K. et al. Proc. ACM CHI 3, 1–35 (2019).
Lum, K. & Isaac, W. Significance 13, 14–19 (2016).
Stoyanovich, J. & Howe, B. IEEE Data Eng. Bull 42, 13–23 (2019).
Van Bavel, J. J. & Pereira, A. Trends Cogn. Sci. 22, 213–224 (2018).
Alfano, M. & Huijts, N. Handbook of Trust and Philosophy (Routledge, 2019).
Feiner, L. CBNC https://www.cnbc.com/2019/08/20/republican-report-of-facebook-anti-conservative-bias-suggests-changes.html (2019).
Schwartz, O. The Guardian https://www.theguardian.com/technology/2018/dec/04/google-facebook-anti-conservative-bias-claims (2018).
Haidt, J. Science 316, 998–1002 (2007).
Bigman, Y. E., Waytz, A., Alterovitz, R. & Gray, K. Trends Cogn. Sci. 23, 365–368 (2019).
Bonnefon, J. F., Shariff, A. & Rahwan, I. Science 352, 1573–1576 (2016).
Awad, E. et al. Nature 563, 59–64 (2018).
Van Lange, P. A. M., Joireman, J., Parks, C. D. & Van Dijk, E. Organ. Behav. Hum. Decis. Process 120, 125–141 (2013).
Holland, S., Hosny, A., Newman, S., Joseph, J. & Chmielinski, K. Preprint at https://arxiv.org/abs/1805.03677 (2018).
Mitchell, M. et al. in Proc. ACM FAT* 220–229 (2019).
Yang, K. et al. in Proc. ACM SIGMOD 1773–1776 (2018).
Loewenstein, G. Am. J. Clin. Nutr 93, 679–680 (2011).
Zhang, B. & Dafoe, A. Artificial Intelligence: American Attitudes and Trends (Center for the Governance of AI, 2019).
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Rights and permissions
About this article
Cite this article
Stoyanovich, J., Van Bavel, J.J. & West, T. The imperative of interpretable machines. Nat Mach Intell 2, 197–199 (2020). https://doi.org/10.1038/s42256-020-0171-8
Published:
Issue Date:
DOI: https://doi.org/10.1038/s42256-020-0171-8
This article is cited by
-
Should AI allocate livers for transplant? Public attitudes and ethical considerations
BMC Medical Ethics (2023)
-
Introducing contextual transparency for automated decision systems
Nature Machine Intelligence (2023)
-
Public attitudes value interpretability but prioritize accuracy in Artificial Intelligence
Nature Communications (2022)
-
Teaching Responsible Data Science: Charting New Pedagogical Territory
International Journal of Artificial Intelligence in Education (2022)