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Lauren Kahn

Biographic Data

ID3922956
NAMELauren Kahn
GIVEN NAMESLauren
FAMILY NAMEKahn
SIGNATUREKAHN L
AFFILIATIONSThe Council on Foreign Relations, Washington, DC, USA
ORCID0000-0003-4175-8865
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS11
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2006
LATEST PUBLICATION YEAR2024
H-INDEX2
  • Adopting AI: How familiarity breeds both trust and contempt

    Open Access•Michael C Horowitz, Lauren Kahn et al.•ARTICLE•AI & Society•2024

  • Bending the Automation Bias Curve: A Study of Human and AI-Based Decision Making in National Security Contexts

    Open Access•Michael C Horowitz, Lauren Kahn•ARTICLE•International Studies Quarterly•2024•Cited by: 4•References: 52

    Uses of artificial intelligence (AI) are growing around the world. What will influence AI adoption in the international security realm? Research on automation bias suggests that humans can often be overconfident in AI, whereas research on algorithm aversion shows that, as the stakes of a decision rise, humans become more cautious about trusting algorithms. We theorize about the relationship between background knowledge about AI, trust in AI, and …

  • Who Gets Smart? Explaining How Precision Bombs Proliferate

    Open Access•Lauren Kahn, Michael C Horowitz•ARTICLE•Journal of Conflict Resolution•2023•Cited by: 4•References: 57

    Smart weapons represent a key element of military power for countries around the world, and nothing symbolizes them more than smart bombs—the guided aerial bombs that the United States debuted in the Vietnam War. Yet, international relations scholars know little about these weapons and what explains their proliferation. In this paper, we theorize about the key drivers of smart bomb proliferation, including an interaction between the security envi…

  • How Joe Biden can use confidence-building measures for military uses of AI

    Michael C Horowitz, Lauren Kahn•ARTICLE•Bulletin of the Atomic Scientists•2021

    Autonomous naval ships, algorithms to interpret drone video footage – the US military and other armed forces around the world are thinking about how to incorporate applications of artificial intelligence systems into their operations. The Biden administration has an opportunity to foster international cooperation on military AI to reduce the risk of inadvertent conflict while still pursuing US military leadership

  • Leading in Artificial Intelligence through Confidence Building Measures

    Michael C Horowitz, Lauren Kahn•ARTICLE•The Washington Quarterly•2021

  • The Future of Military Applications of Artificial Intelligence: A Role for Confidence-Building Measures

    Open Access•Michael C Horowitz, Lauren Kahn et al.•ARTICLE•Orbis•2020•Cited by: 2

  • Narratives of Sexual Abstinence: A Qualitative Study of Female Adolescents in a Cape Town Community

    Lauren Kahn•ARTICLE•Social Dynamics•2006•Cited by: 1•References: 9

    The paper draws upon critical health psychology to explore decision-making around sexual abstinence among adolescent girls in Ocean View, a poor, ‘coloured’ neighbourhood in Cape Town, South Africa. These girls ‘deviate’ from the norm in that they have chosen sexual abstinence in a context characterised by high levels of adolescent promiscuity. Their sexual decisionmaking is found to be a means whereby the participants attempt to challenge destru…

  • Bending the Automation Bias Curve: A Study of Human and AI-Based Decision Making in National Security Contexts

    Open Access•Michael C Horowitz, Lauren Kahn•ARTICLE•International Studies Quarterly•2024•Cited by: 4•References: 52

    Uses of artificial intelligence (AI) are growing around the world. What will influence AI adoption in the international security realm? Research on automation bias suggests that humans can often be overconfident in AI, whereas research on algorithm aversion shows that, as the stakes of a decision rise, humans become more cautious about trusting algorithms. We theorize about the relationship between background knowledge about AI, trust in AI, and …

  • Who Gets Smart? Explaining How Precision Bombs Proliferate

    Open Access•Lauren Kahn, Michael C Horowitz•ARTICLE•Journal of Conflict Resolution•2023•Cited by: 4•References: 57

    Smart weapons represent a key element of military power for countries around the world, and nothing symbolizes them more than smart bombs—the guided aerial bombs that the United States debuted in the Vietnam War. Yet, international relations scholars know little about these weapons and what explains their proliferation. In this paper, we theorize about the key drivers of smart bomb proliferation, including an interaction between the security envi…

  • The Future of Military Applications of Artificial Intelligence: A Role for Confidence-Building Measures

    Open Access•Michael C Horowitz, Lauren Kahn et al.•ARTICLE•Orbis•2020•Cited by: 2

  • Narratives of Sexual Abstinence: A Qualitative Study of Female Adolescents in a Cape Town Community

    Lauren Kahn•ARTICLE•Social Dynamics•2006•Cited by: 1•References: 9

    The paper draws upon critical health psychology to explore decision-making around sexual abstinence among adolescent girls in Ocean View, a poor, ‘coloured’ neighbourhood in Cape Town, South Africa. These girls ‘deviate’ from the norm in that they have chosen sexual abstinence in a context characterised by high levels of adolescent promiscuity. Their sexual decisionmaking is found to be a means whereby the participants attempt to challenge destru…

  • Narratives of Sexual Abstinence: A Qualitative Study of Female Adolescents in a Cape Town Community

    Lauren Kahn•ARTICLE•Social Dynamics•2006•Cited by: 1•References: 9

    The paper draws upon critical health psychology to explore decision-making around sexual abstinence among adolescent girls in Ocean View, a poor, ‘coloured’ neighbourhood in Cape Town, South Africa. These girls ‘deviate’ from the norm in that they have chosen sexual abstinence in a context characterised by high levels of adolescent promiscuity. Their sexual decisionmaking is found to be a means whereby the participants attempt to challenge destru…

  • The Future of Military Applications of Artificial Intelligence: A Role for Confidence-Building Measures

    Open Access•Michael C Horowitz, Lauren Kahn et al.•ARTICLE•Orbis•2020•Cited by: 2

  • How Joe Biden can use confidence-building measures for military uses of AI

    Michael C Horowitz, Lauren Kahn•ARTICLE•Bulletin of the Atomic Scientists•2021

    Autonomous naval ships, algorithms to interpret drone video footage – the US military and other armed forces around the world are thinking about how to incorporate applications of artificial intelligence systems into their operations. The Biden administration has an opportunity to foster international cooperation on military AI to reduce the risk of inadvertent conflict while still pursuing US military leadership

  • Leading in Artificial Intelligence through Confidence Building Measures

    Michael C Horowitz, Lauren Kahn•ARTICLE•The Washington Quarterly•2021

  • Who Gets Smart? Explaining How Precision Bombs Proliferate

    Open Access•Lauren Kahn, Michael C Horowitz•ARTICLE•Journal of Conflict Resolution•2023•Cited by: 4•References: 57

    Smart weapons represent a key element of military power for countries around the world, and nothing symbolizes them more than smart bombs—the guided aerial bombs that the United States debuted in the Vietnam War. Yet, international relations scholars know little about these weapons and what explains their proliferation. In this paper, we theorize about the key drivers of smart bomb proliferation, including an interaction between the security envi…

  • Adopting AI: How familiarity breeds both trust and contempt

    Open Access•Michael C Horowitz, Lauren Kahn et al.•ARTICLE•AI & Society•2024

  • Bending the Automation Bias Curve: A Study of Human and AI-Based Decision Making in National Security Contexts

    Open Access•Michael C Horowitz, Lauren Kahn•ARTICLE•International Studies Quarterly•2024•Cited by: 4•References: 52

    Uses of artificial intelligence (AI) are growing around the world. What will influence AI adoption in the international security realm? Research on automation bias suggests that humans can often be overconfident in AI, whereas research on algorithm aversion shows that, as the stakes of a decision rise, humans become more cautious about trusting algorithms. We theorize about the relationship between background knowledge about AI, trust in AI, and …

Computer Science (6 works) · Computer security (4 works) · Law (4 works) · Political science (4 works) · Artificial Intelligence (3 works) · Business (3 works) · Engineering (3 works) · Ethics and Social Impacts of AI (3 works) · Human-Automation Interaction and Safety (2 works) · Intelligence, Security, War Strategy (2 works)

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