这篇论文深入探讨了人工智能专业人士如何理解人工智能的快速发展，并提出了三个主要辩论框架，对于科技人员和政策制定者来说，了解这些框架对于指导我们的信念、价值观和行为至关重要。
通过混合方法研究，分析了数百万篇与人工智能相关的新闻文章和社交媒体帖子，并基于57次半结构化访谈，探讨了人工智能专业人士如何通过社会学框架解决认知挑战，如分配社会影响的责任。研究提出了三个主要辩论框架：人工智能开发的方法、人工智能系统的思维以及人工智能使用的道德问题。
Method, Mind, and Morality: How People Make Sense of Artificial Intelligence
How can humans make sense of the rapid takeoff of artificial intelligence (AI)? We studied the sensemaking dynamics of AI through an open-ended, mixed-methods study with computational text analysis of millions of AI-related newspaper articles and social media posts grounded in 57 semi-structured interviews with AI professionals in 2021 and 2023--before and after the recent surge of public interest. We identify a range of sociological frames (interpretive schemas that structure collective cognition) and show how AI professionals use frames to address significant cognitive challenges, such as assigning responsibility for societal impacts. We develop a framework of three primary debates across which frames are adopted and contested: (i) the $\textit{method}$ of AI development, between frames of top-down expert systems and bottom-up emergent capabilities, (ii) the $\textit{mind}$ of an AI system, ranging from a passive tool to a humanlike "digital mind," and (iii) the $\textit{morality}$ of how AI is used, particularly the decision of whether to slow down or speed up AI development. As humanity enters the era of transformative AI, technologists and policymakers must account for the framing dynamics that will circumscribe our beliefs, values, and actions.