Welcome to the Brave New World: Lay Definitions of AI at Work and in Daily Life

This study investigates individuals’ lay definitions—naïve mental representations—of artificial intelligence (AI). Two national surveys in the United States explored lay definitions of AI in the workplace (Study 1) and in everyday life (Study 2) using both open- and closed-ended questions. Open-ended responses were analyzed with natural language processing, and quantitative survey data identified factors associated with these definitions. Results show that conceptions of AI differed by context: workers emphasized efficiency and automation in the workplace, while the general public linked AI to diverse everyday technologies. Across both groups, conceptions remained nuanced yet limited. Sociodemographic factors and personality traits were related to sentiments expressed in definitions, and greater trust in AI predicted more positive sentiments. These findings underscore the need for targeted training and education to foster a more comprehensive public understanding of what AI is and what it can do across different contexts.

Authors

Institutions

Publication Details

Journal
Social Science Computer Review
Published
2025-09-25
DOI
https://doi.org/10.1177/08944393251382233
Citations
2
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
4.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Welcome to the Brave New World: Lay Definitions of AI at Work and in Daily Life

Wenbo Li, Xia Zheng, Shuning Lu, Shan Xu
2 citations
Social Science Computer Review
Ethics and Social Impacts of AI
4.73
article

Welcome to the Brave New World: Lay Definitions of AI at Work and in Daily Life

Wenbo Li, Xia Zheng, Shuning Lu, Shan Xu
article en
2 citations

Abstract

This study investigates individuals’ lay definitions—naïve mental representations—of artificial intelligence (AI). Two national surveys in the United States explored lay definitions of AI in the workplace (Study 1) and in everyday life (Study 2) using both open- and closed-ended questions. Open-ended responses were analyzed with natural language processing, and quantitative survey data identified factors associated with these definitions. Results show that conceptions of AI differed by context: workers emphasized efficiency and automation in the workplace, while the general public linked AI to diverse everyday technologies. Across both groups, conceptions remained nuanced yet limited. Sociodemographic factors and personality traits were related to sentiments expressed in definitions, and greater trust in AI predicted more positive sentiments. These findings underscore the need for targeted training and education to foster a more comprehensive public understanding of what AI is and what it can do across different contexts.

Social Science Computer Review
Texas Tech University (US), Stony Brook University (US), University of Maryland, College Park (US)
Openalex Percentile: Top 5%
Ethics and Social Impacts of AI
4.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.