美国民众对AI态度受信任、经验与创新观念影响
Trust, Experience, and Innovation: Key Factors Shaping American Attitudes About AI
- 分析民众使用大语言模型经历、科学信任度等影响因素
- 发现性别、风险防范倾向与担忧程度显著相关
- 为AI政策制定提供公众态度依据，适合政策研究者参考
一项针对美国成人的大规模调查探讨了人工智能技术新进展引发的公众态度复杂性。研究考察了人们对特定潜在后果的担忧程度及其相关因素，关键变量包括是否使用过如ChatGPT的大语言模型、对科学的一般信任度、是否支持预防性原则或无限制创新，以及性别等人口学特征。通过分析这些关系，论文揭示了美国公众对AI反应的深层机制，对制定监管或推动发展的政策具有重要意义。
原文摘要 · Abstract (English)
A large survey of American adults explored the complex landscape of attitudes towards 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 ChatGPT, general trust in science, adherence to the precautionary principle versus support for unrestricted innovation, and demographic factors such as gender. By analyzing these relationships, the paper provides valuable insights into the American public's response to AI that are particularly important in the development of policy to regulate or further encourage its development.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。