信任、经验和创新:影响美国人对人工智能态度的关键因素。

IF 3.3 2区 文学 Q1 COMMUNICATION
Risa Palm, Justin T Kingsland, Toby Bolsen
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引用次数: 0

摘要

一项针对美国成年人的大型调查探讨了人们对人工智能(AI)的复杂态度。它探讨了对人工智能技术新进展的具体潜在结果的关注程度以及这些关注的相关性。与关注的方向和强度相关的关键变量包括先前使用大型语言模型(如Chat GPT)的经验,对科学的普遍信任,对预防原则的坚持与对无限制创新的支持,以及性别等人口因素。通过确定这些关系,本文提供了对美国公众对人工智能的反应的见解,可以为旨在规范或鼓励其发展的政策的制定提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trust, experience, and innovation: Key factors shaping American attitudes about AI.

A large survey of American adults explored the complex landscape of attitudes toward artificial intelligence (AI). It explored the degree of concern regarding specific potential outcomes of the new advances in AI technology and correlates of these concerns. Key variables associated with the direction and intensity of concern include prior experience using a large language model such as Chat GPT, general trust in science, adherence to the precautionary principle versus support for unrestricted innovation, and demographic factors such as gender. By identifying these relationships, the paper offers insights into the American public's response to AI that can inform the development of policies aimed at either regulating or encouraging its advancement.

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来源期刊
CiteScore
7.30
自引率
9.80%
发文量
80
期刊介绍: Public Understanding of Science is a fully peer reviewed international journal covering all aspects of the inter-relationships between science (including technology and medicine) and the public. Public Understanding of Science is the only journal to cover all aspects of the inter-relationships between science (including technology and medicine) and the public. Topics Covered Include... ·surveys of public understanding and attitudes towards science and technology ·perceptions of science ·popular representations of science ·scientific and para-scientific belief systems ·science in schools
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