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Auteur-es
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Kelley, Patrick Gage; Yang, Yongwei; Heldreth, Courtney; Moessner, Christopher; Sedley, Aaron M.; Woodruff, Allison
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Nombre Auteurs
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6
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Titre
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“Mixture of amazement at the potential of this technology and concern about possible pitfalls”: Public sentiment towards AI in 15 countries
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Année de publication
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2021
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Référence (APA)
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Kelley, P. G., Yang, Y., Heldreth, C., Moessner, C., Sedley, A. M., & Woodruff, A. (2021). “Mixture of amazement at the potential of this technology and concern about possible pitfalls” : Public sentiment towards AI in 15 countries. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 44(4), 28‑46.
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Mots-clés
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ND
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URL
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http://sites.computer.org/debull/A21dec/A21DEC-CD.pdf#page=30
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Accessibilité de l'article
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Open access
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Champ
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Human-Computer Interaction and Visualization
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Type contenu (théorique Applicative méthodologique)
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Applicative
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Méthode
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Analysis of responses to public survey
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Cas d'usage
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Articifial Intelligence
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Objectifs de l'article
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Explorations of public perception of AI
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Question(s) de recherche/Hypothèses/conclusion
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Research question(s) : In this paper we focus on the following research objective: What sentiment do respondents have towards AI? Specifically, we present emergent themes, descriptive statistics, and illustrative quotes for the following open-ended question about sentiment: ‘What feelings or emotions come to mind when you hear the phrase Artificial Intelligence (AI)?’
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Hypothesis(es) : Rather than presupposing particular sentiment, we began with open-ended responses and looked for emergent themes.
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Conclusion(s) : Our findings revealed sentiment groups as a distinguishing feature, with respondents in different countries finding AI to be Exciting, Useful, Worrying, and Futuristic to varying degrees. These groups provide one nuanced alternative to understanding people’s feelings towards AI, rather than considering their orientation to AI as simply positive or negative.
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Cadre théorique/Auteur.es
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Survey-bsased research on public perception of AI (Cave, Coughlan et Dihal, 2019 ; Zhang et Dafoe, 2022)
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Sentiment analysis based research on public perception of AI (Fast et Horvitz, 2017 ; Chuan, Tsai et Cho, 2019)
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Narrative analysis based research on public perception of AI (Cave et al. 2018 ; Cave, Dihal, et Dillon, 2020)
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Our work sits within a growing body of research on people’s perceptions of AI, across disciplines including HCI, critical studies, law, marketing, policy, psychology, and more. This topic is highly complex, multi-dimensional, and far from fully understood.
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Concepts clés
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Public perception of AI
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Données collectées (type source)
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Responses to a general public survey
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Définition des émotions
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No definition
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Use of sentiment categories/groups
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Ampleur expérimentation (volume de comptes)
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17,000 respondents in 15 countries (Germany, Australia, Finland, Singapore, Belgium, Canada, USA, South Korea, Spain, France, Poland, Brazil, China, India and Nigeria)
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Technologies associées
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Artificial Intelligence
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Mention de l'éthique
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Beyond that, however, our findings align with calls to develop technology that supports public values. For example, many respondents were concerned about negative impacts of AI on privacy, reinforcing the value of continued emphasis on designing and developing AI with privacy in mind, concordant with discussion of privacy by design in the EU General Data Protection Regulation (GDPR).9 The privacy discussion continues to evolve quickly, and best practices for AI technologies continue to be actively explored in the academic, legal, and policy communities, offering many opportunities for advances in this area.
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Finalité communicationnelle
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Further, our findings also suggest ways in which the design and development of particular technologies may have a favorable impact on public opinion. For example, our findings point to the value of emphasizing AI’s application to healthcare in product and research investments as well as communications.
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Résumé
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Public opinion plays an important role in the development of technology, influencing product adoption, commercial development, research funding, career choices, and regulation. In this paper we present results of an in-depth survey of public opinion of artificial intelligence (AI) conducted with over 17,000 respondents spanning fifteen countries and six continents. Our analysis of open-ended responses regarding sentiment towards AI revealed four key themes (exciting, useful, worrying, and futuristic) which appear to varying degrees in different countries. These sentiments, and their relative prevalence, may inform how the public influences the development of AI.