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  1. Public perceptions of the use of artificial intelligence in Defence: a qualitative exploration.Lee Hadlington, Maria Karanika-Murray, Jane Slater, Jens Binder, Sarah Gardner & Sarah Knight - forthcoming - AI and Society:1-14.
    There are a wide variety of potential applications of artificial intelligence (AI) in Defence settings, ranging from the use of autonomous drones to logistical support. However, limited research exists exploring how the public view these, especially in view of the value of public attitudes for influencing policy-making. An accurate understanding of the public’s perceptions is essential for crafting informed policy, developing responsible governance, and building responsive assurance relating to the development and use of AI in military settings. This study is (...)
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  • Public perception of military AI in the context of techno-optimistic society.Eleri Lillemäe, Kairi Talves & Wolfgang Wagner - forthcoming - AI and Society:1-15.
    In this study, we analyse the public perception of military AI in Estonia, a techno-optimistic country with high support for science and technology. This study involved quantitative survey data from 2021 on the public’s attitudes towards AI-based technology in general, and AI in developing and using weaponised unmanned ground systems (UGS) in particular. UGS are a technology that has been tested in militaries in recent years with the expectation of increasing effectiveness and saving manpower in dangerous military tasks. However, developing (...)
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  • Attitudes toward artificial intelligence: combining three theoretical perspectives on technology acceptance.Pascal D. Koenig - forthcoming - AI and Society:1-13.
    Evidence on AI acceptance comes from a diverse field comprising public opinion research and largely experimental studies from various disciplines. Differing theoretical approaches in this research, however, imply heterogeneous ways of studying AI acceptance. The present paper provides a framework for systematizing different uses. It identifies three families of theoretical perspectives informing research on AI acceptance—user acceptance, delegation acceptance, and societal adoption acceptance. These models differ in scope, each has elements specific to them, and the connotation of technology acceptance thus (...)
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  • The relationship between the attitudes of the use of AI and diversity awareness: comparisons between Japan, the US, Germany, and South Korea.Yuko Ikkatai, Yuko Itatsu, Tilman Hartwig, Jooeun Noh, Naohiro Takanashi, Yujin Yaguchi, Kaori Hayashi & Hiromi M. Yokoyama - forthcoming - AI and Society:1-15.
    Recent technological advances have accelerated the use of artificial intelligence (AI) in the world. Public concerns over AI in ethical, legal, and social issues (ELSI) may have been enhanced, but their awareness has not been fully examined between countries and cultures. We created four scenarios regarding the use of AI: “voice,” “recruiting,” “face,” and “immigration,” and compared public concerns in Japan, the US, Germany, and the Republic of Korea (hereafter Korea). Additionally, public ELSI concerns in respect of AI were measured (...)
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  • Artists or art thieves? media use, media messages, and public opinion about artificial intelligence image generators.Paul R. Brewer, Liam Cuddy, Wyatt Dawson & Robert Stise - forthcoming - AI and Society:1-11.
    This study investigates how patterns of media use and exposure to media messages are related to attitudes about artificial intelligence (AI) image generators. In doing so, it builds on theoretical accounts of media framing and public opinion about science and technology topics, including AI. The analyses draw on data from a survey of the US public (N = 1,035) that included an experimental manipulation of exposure to tweets framing AI image generators in terms of real art, artists’ concerns, artists’ outrage, (...)
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  • Drivers behind the public perception of artificial intelligence: insights from major Australian cities.Tan Yigitcanlar, Kenan Degirmenci & Tommi Inkinen - forthcoming - AI and Society:1-21.
    Artificial intelligence is not only disrupting industries and businesses, particularly the ones have fallen behind the adoption, but also significantly impacting public life as well. This calls for government authorities pay attention to public opinions and sentiments towards AI. Nonetheless, there is limited knowledge on what the drivers behind the public perception of AI are. Bridging this gap is the rationale of this paper. As the methodological approach, the study conducts an online public perception survey with the residents of Sydney, (...)
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