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Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

Postal Subscription Code 80-970

2018 Impact Factor: 1.129

Front. Comput. Sci.    2019, Vol. 13 Issue (1) : 1-3    https://doi.org/10.1007/s11704-018-8900-4
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Robust artificial intelligence and robust human organizations
Thomas G. DIETTERICH()
Kelley Engineering Center, Oregon State University, Corvallis OR 97331, USA
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Corresponding Author(s): Thomas G. DIETTERICH   
Online First Date: 03 December 2018    Issue Date: 31 January 2019
 Cite this article:   
Thomas G. DIETTERICH. Robust artificial intelligence and robust human organizations[J]. Front. Comput. Sci., 2019, 13(1): 1-3.
 URL:  
https://academic.hep.com.cn/fcs/EN/10.1007/s11704-018-8900-4
https://academic.hep.com.cn/fcs/EN/Y2019/V13/I1/1
1 CPerrow. Normal Accidents: Living with High-Risk Technologies. Princeton: Princeton University Press, 1984
2 K EWeick, K M Sutcliffe, DObstfeld. Organizing for high reliability: processes of collective mindfulness. Research in Organizational Behavior, 1999, 21: 23–81
3 PScharre. Army of None: Autonomous Weapons and The Future of War. New York: W. W. Norton & Company, 2018
4 YChow, ATamar, SMannor, M Pavone. Risk-sensitive and robust decision-making: a CVaR optimization approach. In: Proceedings of the 28th International Conference on Neural Information Processing Systems. 2015, 1522–1530
5 J LBresina, P HMorris. Mixed-initiative planning in space mission operations. AI Magazine, 2007, 28(2): 75–88
6 South Wales Police.
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