SOURCE-LINKED INTELLIGENCE
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 as
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- recordType
- paper
- region
- Global
Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-25T15:52:55.000Z
- OpenAlex research metadata · 2026-09-23T00:00:00.000Z
First collected: 2026-09-21T09:42:05.193Z. This is not the publication date.
Research metadata
OpenAlex record ↗ · Metadata licensed CC0; paper rights are separate.
- Citations reported by OpenAlex
- 0
- Authors
- Jacy Reese Anthis; Erik Brynjolfsson; James A. Evans
- Affiliations
- University of Chicago (US); Stanford University (US); Santa Fe Institute (US)
- Topic
- Ethics and Social Impacts of AI
- Venue
- Proceedings of the ACM on Human-Computer Interaction
- Publication type
- article
- Retraction flag reported by OpenAlex
- Not flagged
Citation count and retraction flag reported by OpenAlex. Citations are not a quality score; affiliation countries are not study locations.