Algorithms and Influence Artificial Intelligence and Crisis Decision-Making

被引:6
|
作者
Horowitz, Michael C. [1 ]
Lin-Greenberg, Erik [2 ]
机构
[1] Univ Penn, Polit Sci, Philadelphia, PA 19104 USA
[2] MIT, Polit Sci, Boston, MA USA
关键词
WAR; ESCALATION; FAILURES; RISKS;
D O I
10.1093/isq/sqac069
中图分类号
D81 [国际关系];
学科分类号
030207 ;
摘要
Countries around the world are increasingly investing in artificial intelligence (AI) to automate military tasks that traditionally required human involvement. Despite growing interest in AI-enabled systems, relatively little research explores whether and how AI affects military decision-making. Yet, national security practitioners may perceive the judgments of and actions taken by algorithms differently than those of humans. This variation may subsequently affect decisions on the use of force. Using two original survey experiments fielded on a sample of US national security experts, we find that AI use by both friendly and rival forces affects decision-making during interstate crises. National security experts are less likely to take military action when AI is used to analyze intelligence than when humans conduct the analysis. Experts also viewed an accident involving a rival's AI-enabled weapon that kills American troops as more deserving of retaliation than an accident involving only human operators, suggesting that national security practitioners are less forgiving of errant AI systems than of similarly erring humans. Our findings suggest emerging technologies such as AI can affect decisionmakers' perceptions in ways that shape political outcomes. Even in a world of algorithms, human decisions will still have important consequences for international security.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Algorithms and Decision-Making in Military Artificial Intelligence
    Garcia, Denise
    [J]. GLOBAL SOCIETY, 2024, 38 (01) : 24 - 33
  • [2] Artificial Intelligence and Decision-Making
    Dear, Keith
    [J]. RUSI JOURNAL, 2019, 164 (5-6): : 18 - 25
  • [3] Artificial Intelligence Project Success Factors: Moral Decision-Making with Algorithms
    Miller, Gloria J.
    [J]. PROCEEDINGS OF THE 2021 16TH CONFERENCE ON COMPUTER SCIENCE AND INTELLIGENCE SYSTEMS (FEDCSIS), 2021, : 379 - 390
  • [4] Artificial Intelligence and Surgical Decision-making
    Loftus, Tyler J.
    Tighe, Patrick J.
    Filiberto, Amanda C.
    Efron, Philip A.
    Brakenridge, Scott C.
    Mohr, Alicia M.
    Rashidi, Parisa
    Upchurch, Gilbert R., Jr.
    Bihorac, Azra
    [J]. JAMA SURGERY, 2020, 155 (02) : 148 - 158
  • [5] Optimization, Decision-making and Artificial Intelligence
    Mittal, Mandeep
    Shah, Nita H.
    [J]. Recent Advances in Computer Science and Communications, 2022, 15 (01)
  • [6] Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making
    Chan, Lok
    Doyle, Kenzie
    McElfresh, Duncan C.
    Conitzer, Vincent
    Dickerson, John P.
    Borg, Jana Schaich
    Sinnott-Armstrong, Walter
    [J]. PROCEEDINGS OF THE 3RD AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY AIES 2020, 2020, : 214 - 220
  • [7] Use of Artificial Intelligence in Regulatory Decision-Making
    Jago, Robert
    Gaag, Anna van der
    Stathis, Kostas
    Petej, Ivan
    Lertvittayakumjorn, Piyawat
    Krishnamurthy, Yamuna
    Gao, Yang
    Silva, Juan Caceres
    Webster, Michelle
    Gallagher, Ann
    Austin, Zubin
    [J]. JOURNAL OF NURSING REGULATION, 2021, 12 (03) : 11 - 19
  • [8] Artificial intelligence for decision-making and the future of work
    Dennehy, Denis
    Griva, Anastasia
    Pouloudi, Nancy
    Mantymakid, Matti
    Pappas, Ilias
    [J]. INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2023, 69
  • [9] Accessing Artificial Intelligence for Clinical Decision-Making
    Giordano, Chris
    Brennan, Meghan
    Mohamed, Basma
    Rashidi, Parisa
    Modave, Francois
    Tighe, Patrick
    [J]. FRONTIERS IN DIGITAL HEALTH, 2021, 3
  • [10] Improving Group Decision-Making by Artificial Intelligence
    Xia, Lirong
    [J]. PROCEEDINGS OF THE TWENTY-SIXTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, : 5156 - 5160