Deterrence in the Age of Thinking Machines
By Y. Wong, J. Yurchak, R. Button, A. Frank, B. Laird, Osonde A. Osoba, R. Steeb, Benjamin N. Harris, S. J. Bae. 2020
34 citations recorded by the source corpus.
What happens to deterrence and escalation when decisions can be made at machine speeds and when states can put fewer human lives at risk? What are potential areas for miscalculation and unintended consequences, and unwanted escalation in particular? This exploratory report provides an initial examination of how artificial intelligence and autonomous systems could affect deterrence and escalation in conventional crises and conflicts.
Subfields: Political Science and International Relations, Safety Research, Sociology and Political Science
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Citations in the corpus
- Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward (2020, background): “Applications in our daily lives encompass fi elds, such as (precision) agriculture (Sennaar, 2019), air combat and military training (Gallagher, 2016; Wong, 2020), education (Sears, 2018), fi nance (Bahrammirzaee, 2010), health care (Beam and Kohane, 2018), human resources and recruiting (Hmoud and…”