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001 | gs0prp1rdjt6z2r5 | ||
003 | SE-LIBR | ||
005 | 20200624100714.0 | ||
007 | cr ||| ||||| | ||
008 | 200427s2020 sw |||||o|||||000 ||eng|c | ||
040 | _aSipr | ||
041 | _aeng | ||
245 | 1 | 4 |
_aThe impact of artificial intelligence on strategic stability and nuclear risk : _pVol. III. South Asian perspectives / _h[electronic resource] _cEdited by Petr Topychkanov ; [contributors: Maaike Verbruggen ...] |
260 |
_aSolna : _bSIPRI, _c2020 |
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300 | _a73 p. | ||
500 | _aE-book | ||
500 | _aSIP2023 | ||
500 | _a"April 2020". | ||
500 | _aThis edited volume is the third of a series of three. They form part of a SIPRI project that explores regional perspectives and trends related to the impact that recent advances in artificial intelligence could have on nuclear weapons and doctrines, as well as on strategic stability and nuclear risk. This volume assembles the perspectives of eight experts on South Asia on why and how machine learning and autonomy may become the focus of an arms race among nuclear-armed states. It further explores how the adoption of these technologies may have an impact on their calculation of strategic stability and nuclear risk at the regional and transregional levels. | ||
500 | _aAcknowledgements: "I express my sincere gratitude to the Carnegie Corporation of New York for its generous financial support of this project, and to the Pathfinder Foundation for co-hosting with SIPRI the third project workshop on 25–26 February 2019 in Colombo." | ||
538 | _aPDF | ||
650 | 4 |
_astrategy _xnuclear strategy |
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651 | 4 |
_aSouth Asia _xartificial intelligence |
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700 | 1 | _aTopychkanov, Petr | |
700 | 1 | _aVerbruggen, Maaike | |
710 | 2 | _aSIPRI | |
852 | _hFri e-publikation | ||
856 | 4 | 0 | _uhttps://www.sipri.org/publications/2020/other-publications/impact-artificial-intelligence-strategic-stability-and-nuclear-risk-volume-iii-south-asian |
942 | _cEMON |