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COVID-19 and public support for autonomous technologies-Did the pandemic catalyze a world of robots?
Horowitz, Michael C; Kahn, Lauren; Macdonald, Julia; Schneider, Jacquelyn.
  • Horowitz MC; Department of Political Science, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
  • Kahn L; Council on Foreign Relations, Washington, D.C., United States of America.
  • Macdonald J; Department of Political Science, University of Denver, Denver, Colorado, United States of America.
  • Schneider J; Freeman Spogli Institute, Stanford University, Stanford, California, United States of America.
PLoS One ; 17(9): e0273941, 2022.
Article in English | MEDLINE | ID: covidwho-2054332
ABSTRACT
By introducing a novel risk to human interaction, COVID-19 may have galvanized interest in uses of artificial intelligence (AI). But was the pandemic a large enough catalyst to change public attitudes about the costs and benefits of autonomous systems whose operations increasingly rely on AI? To answer this question, we use a preregistered research design that exploits variation across the 2018 and 2020 waves of the CCES/CES, a nationally representative survey of adults in the United States. We compare support for autonomous cars, autonomous surgeries, weapons, and cyber defense pre- and post-the beginning of the COVID-19 pandemic. We find that, despite the incentives created by COVID-19, the pandemic did not increase support for most of these technologies, except in the case of autonomous surgery among those who know someone who died of COVID-19. The results hold even when controlling for a variety of relevant political and demographic factors. The pandemic did little to push potential autonomous vehicle users to support adoption. Further, American concerns about autonomous weapons, including cyber defense, remain sticky and perhaps exacerbated over the last two years. These findings suggest that the relationship between the COVID-19 pandemic and the adoption of many of these systems is far more nuanced and complex than headlines may suggest.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Robotics / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Adult / Humans Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0273941

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Robotics / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Adult / Humans Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0273941