Original Exploding Topics survey data explores public sentiment on AI Overviews and AI-generated content, highlighting trust, skepticism, and shifting content consumption habits.
AI is now unpopular. That may not make a difference.
The Age Of Artificial Intelligence: Americans' AI Use Increases While Views On It Sour, Quinnipiac University Poll On AI Finds; 7 In 10 Think AI Will Cut Jobs With Gen Z The Most Pessimistic | Quinnipiac University Poll
"The contradiction between use and trust of AI is striking. Fifty-one percent say they use AI for research, and many also use it for writing, work, and data analysis. But only 21 percent trust AI-generated information most or almost all of the time. Americans are clearly adopting AI, but they are doing so with deep hesitation, not deep trust," said Chetan Jaiswal, Ph.D., Associate Professor of Computer Science and Associate Chair, Department of Computing, Quinnipiac University School of Computing and Engineering.
As more Americans adopt AI tools, fewer say they can trust the results | TechCrunch
AI adoption is rising in the U.S., but trust remains low, with most Americans concerned about transparency, regulation, and the technology’s broader societal impact, according to a new Quinnipiac poll.
AI Tools for Trust: Community Notes, Rhetoric Detection & More
Five AI technologies to combat misinformation: community notes, rhetoric detection, reliability tracking, epistemic evals, and provenance tracing.
AI use in American newspapers is widespread, uneven, and rarely disclosed
AI is rapidly transforming journalism, but the extent of its use in published newspaper articles remains unclear. We address this gap by auditing a large-scale dataset of 186K articles from online editions of 1.5K American newspapers published in the summer of 2025. Using Pangram, a state-of-the-art AI detector, we discover that approximately 9% of newly-published articles are either partially or fully AI-generated. This AI use is unevenly distributed, appearing more frequently in smaller, local outlets, in specific topics such as weather and technology, and within certain ownership groups. We also analyze 45K opinion pieces from Washington Post, New York Times, and Wall Street Journal, finding that they are 6.4 times more likely to contain AI-generated content than news articles from the same publications, with many AI-flagged op-eds authored by prominent public figures. Despite this prevalence, we find that AI use is rarely disclosed: a manual audit of 100 AI-flagged articles found only five disclosures of AI use. Overall, our audit highlights the immediate need for greater transparency and updated editorial standards regarding the use of AI in journalism to maintain public trust.
AI use in American newspapers is widespread, uneven, and rarely disclosed
AI is rapidly transforming journalism, but the extent of its use in published newspaper articles remains unclear. We address this gap by auditing a large-scale dataset of 186K articles from online editions of 1.5K American newspapers published in the summer of 2025. Using Pangram, a state-of-the-art AI detector, we discover that approximately 9% of newly-published articles are either partially or fully AI-generated. This AI use is unevenly distributed, appearing more frequently in smaller, local outlets, in specific topics such as weather and technology, and within certain ownership groups. We also analyze 45K opinion pieces from Washington Post, New York Times, and Wall Street Journal, finding that they are 6.4 times more likely to contain AI-generated content than news articles from the same publications, with many AI-flagged op-eds authored by prominent public figures. Despite this prevalence, we find that AI use is rarely disclosed: a manual audit of 100 AI-flagged articles found only five disclosures of AI use. Overall, our audit highlights the immediate need for greater transparency and updated editorial standards regarding the use of AI in journalism to maintain public trust.
Why I don’t trust most human-AI interaction experimental research – Jason Collins blog
Behavioural economics, data science and artificial intelligence.
There’s a Mass Rebellion Against AI in the Workplace
Only nine percent of office workers trust their company's AI tools with "business-critical" tasks, a new survey found.
Major AI conference flooded with peer reviews written fully by AI
Nature - Controversy has erupted after 21% of manuscript reviews for an international AI conference were found to be generated by artificial intelligence.
AI's got a gender gap: Women are more skeptical
Men are more enthusiastic about AI, while women are more skeptical, according to CNBC's 5th annual SurveyMonkey Women at Work survey.
"AI" is Automated Inequality
Tech bros still dominate the discussions about so-called "AI" with false claims. Even most "AI"-critical researchers spend much of their time meticulously debunking (always only a subset of) claims, leaving vast areas of the economic consequences of "AI" unexplored. (Even the "AI"-evangelist Economi
Workers around the world are not getting what they want from AI
A survey of workers in 60 countries found that a majority of those facing the threat of AI-driven job loss do not trust companies or governments to manage the transition fairly.
What Americans See About AI Online
One month of web browsing data shows most respondents visited a search page with an AI-generated summary, but visits to in-depth content about AI were much rarer.
Scary New Report: Just 8 Percent of People Check AI Answers
It's time to talk with your people about best practices for using artificial intelligence.
Tracking AI-enabled Misinformation: 3,749 AI Content Farm sites (and Counting), Plus the Top False Claims Generated by Artificial Intelligence Tools
Coverage by McKenzie Sadeghi, Dimitris Dimitriadis, Virginia Padovese, Giulia Pozzi, Sara Badilini, Chiara Vercellone, Natalie Huet, Zack Fishman, Leonie Pfaller, and Natalie Adams | Last Updated June 23, 2026
AI enthusiasts are in a race against time, AI skeptics are in a race against entropy
Both sides are grappling with a real existential threat, and both sides feel like they are screaming into the void. Here's how to close the gap and get everyone pulling in the same direction.
