What influences attitudes about artificial intelligence adoption: Evidence from U.S. local officials.

Rapid advances in machine learning and related techniques have increased optimism about self-driving cars, autonomous surgery, and other uses of artificial intelligence (AI). But adoption of these technologies is not simply a matter of breakthroughs in the design and training of algorithms. Regulato...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Michael C Horowitz, Lauren Kahn
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2cc077cc11e74b349e0d6630bdcdd0af
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:2cc077cc11e74b349e0d6630bdcdd0af
record_format	dspace
spelling	oai:doaj.org-article:2cc077cc11e74b349e0d6630bdcdd0af2021-12-02T20:07:49ZWhat influences attitudes about artificial intelligence adoption: Evidence from U.S. local officials.1932-620310.1371/journal.pone.0257732https://doaj.org/article/2cc077cc11e74b349e0d6630bdcdd0af2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0257732https://doaj.org/toc/1932-6203Rapid advances in machine learning and related techniques have increased optimism about self-driving cars, autonomous surgery, and other uses of artificial intelligence (AI). But adoption of these technologies is not simply a matter of breakthroughs in the design and training of algorithms. Regulators around the world will have to make a litany of choices about law and policy surrounding AI. To advance knowledge of how they will make these choices, we draw on a unique survey pool-690 local officials in the United States-a representative sample of U.S. local officials. These officials will make many of the decisions about AI adoption, from government use to regulation, given the decentralized structure of the United States. The results show larger levels of support for autonomous vehicles than autonomous surgery. Moreover, those that used ridesharing apps prior to the COVID-19 pandemic are significantly more supportive of autonomous vehicles. We also find that self-reported familiarity with AI is correlated with increased approval of AI uses in a variety of areas, including facial recognition, natural disaster impact planning, and even military surveillance. Related, those who expressed greater opposition to AI adoption also appear more concerned about trade-offs between privacy and information and bias in algorithms. Finally, the explanatory logic used by respondents varies based on gender and prior experience with AI, which we demonstrate with quantitative text analysis.Michael C HorowitzLauren KahnPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0257732 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Michael C Horowitz Lauren Kahn What influences attitudes about artificial intelligence adoption: Evidence from U.S. local officials.
description	Rapid advances in machine learning and related techniques have increased optimism about self-driving cars, autonomous surgery, and other uses of artificial intelligence (AI). But adoption of these technologies is not simply a matter of breakthroughs in the design and training of algorithms. Regulators around the world will have to make a litany of choices about law and policy surrounding AI. To advance knowledge of how they will make these choices, we draw on a unique survey pool-690 local officials in the United States-a representative sample of U.S. local officials. These officials will make many of the decisions about AI adoption, from government use to regulation, given the decentralized structure of the United States. The results show larger levels of support for autonomous vehicles than autonomous surgery. Moreover, those that used ridesharing apps prior to the COVID-19 pandemic are significantly more supportive of autonomous vehicles. We also find that self-reported familiarity with AI is correlated with increased approval of AI uses in a variety of areas, including facial recognition, natural disaster impact planning, and even military surveillance. Related, those who expressed greater opposition to AI adoption also appear more concerned about trade-offs between privacy and information and bias in algorithms. Finally, the explanatory logic used by respondents varies based on gender and prior experience with AI, which we demonstrate with quantitative text analysis.
format	article
author	Michael C Horowitz Lauren Kahn
author_facet	Michael C Horowitz Lauren Kahn
author_sort	Michael C Horowitz
title	What influences attitudes about artificial intelligence adoption: Evidence from U.S. local officials.
title_short	What influences attitudes about artificial intelligence adoption: Evidence from U.S. local officials.
title_full	What influences attitudes about artificial intelligence adoption: Evidence from U.S. local officials.
title_fullStr	What influences attitudes about artificial intelligence adoption: Evidence from U.S. local officials.
title_full_unstemmed	What influences attitudes about artificial intelligence adoption: Evidence from U.S. local officials.
title_sort	what influences attitudes about artificial intelligence adoption: evidence from u.s. local officials.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/2cc077cc11e74b349e0d6630bdcdd0af
work_keys_str_mv	AT michaelchorowitz whatinfluencesattitudesaboutartificialintelligenceadoptionevidencefromuslocalofficials AT laurenkahn whatinfluencesattitudesaboutartificialintelligenceadoptionevidencefromuslocalofficials
_version_	1718375230958731264

What influences attitudes about artificial intelligence adoption: Evidence from U.S. local officials.

Ejemplares similares