Algorithmic Aversion? Experimental Evidence on the Elasticity of Public Attitudes to "Killer Robots"

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F24%3A10479106" target="_blank" >RIV/00216208:11230/24:10479106 - isvavai.cz</a>

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=W3vYHmseIs" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=W3vYHmseIs</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/09636412.2023.2250259" target="_blank" >10.1080/09636412.2023.2250259</a>

Result language

angličtina

Original language name

Algorithmic Aversion? Experimental Evidence on the Elasticity of Public Attitudes to "Killer Robots"

Original language description

Lethal autonomous weapon systems present a prominent yet controversial military innovation. While previous studies have indicated that the deployment of &quot;killer robots&quot; would face considerable public opposition, our understanding of the elasticity of these attitudes, contingent on different factors, remains limited. In this article, we aim to explore the sensitivity of public attitudes to three specific factors: concerns about the accident-prone nature of the technology, concerns about responsibility attribution for adverse outcomes, and concerns about the inherently undignified nature of automated killing. Our survey experiment with a large sample of Americans reveals that public attitudes toward autonomous weapons are significantly contingent on beliefs about their error-proneness relative to human-operated systems. Additionally, we find limited evidence that individuals concerned about human dignity violations are more likely to oppose &quot;killer robots.&quot; These findings hold significance for current policy debates about the international regulation of autonomous weapons.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

50601 - Political science

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Security Studies

ISSN

0963-6412

e-ISSN

1556-1852

Volume of the periodical

33

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

31

Pages from-to

115-145

UT code for WoS article

001071914100001

EID of the result in the Scopus database

2-s2.0-85172783788