Quoting from Olivia Guest et al. (2025) "Against the Uncritical Adoption of AI Technologies in Academia."
No. 017: Science EIC contra AI hype, data poisoning of research agents, Vancouver Standard for AI disclosure - The Hallway Track
The Hallway Track No. 017 - How AI is affecting the practice of science
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.
Your Favorite Science YouTubers Are Wrong About AI, (e.g. SciShow, Kurzgesagt, and Kyle Hill )
AI is now unpopular. That may not make a difference.
I expect rapid progress but not towards general superintelligence
I’ve often been surprised when I hear from top researchers in industry that they think AI will be better than them at their job in a few years, and I didn’t really know why I doubted it.
The Scaling Era: An Oral History of AI, 2019–2025
An inside view of the AI revolution, from the people an…
The Scaling Era: An Oral History of AI, 2019–2025
An inside view of the AI revolution, from the people and companies making it happen.
Will AI ruin the social sciences — or revolutionize them?
The technology can whip up spurious findings and pollute survey responses, but it could also make research more rigorous.
Artificial intelligence tools expand scientists’ impact but contract science’s focus
Developments in artificial intelligence (AI) have accelerated scientific discovery1. Alongside recent AI-oriented Nobel prizes2–9, these trends establish the role of AI tools in science10. This advancement raises questions about the influence of AI tools on scientists and science as a whole, and highlights a potential conflict between individual and collective benefits11. To evaluate these questions, we used a pretrained language model to identify AI-augmented research, with an F1-score of 0.875 in validation against expert-labelled data. Using a dataset of 41.3 million research papers across the natural sciences and covering distinct eras of AI, here we show an accelerated adoption of AI tools among scientists and consistent professional advantages associated with AI usage, but a collective narrowing of scientific focus. Scientists who engage in AI-augmented research publish 3.02 times more papers, receive 4.84 times more citations and become research project leaders 1.37 years earlier than those who do not. By contrast, AI adoption shrinks the collective volume of scientific topics studied by 4.63% and decreases scientists’ engagement with one another by 22%. By consequence, adoption of AI in science presents what seems to be a paradox: an expansion of individual scientists’ impact but a contraction in collective science’s reach, as AI-augmented work moves collectively towards areas richest in data. With reduced follow-on engagement, AI tools seem to automate established fields rather than explore new ones, highlighting a tension between personal advancement and collective scientific progress.
The Age of Wonders and Terrors
Twenty years ago, when the idea of AI taking over the world in our lifetimes still struck most of us as the unconstrained fantasy of those who knew too much science fiction and too little science, …
Don’t Believe the Hype — or Doom — About AI
For America’s VC-dominated tech industry, AI hype isn’t just a crazy by-product — it’s a structural part of the US economy in which capital tries to write our destinies. We shouldn’t let it.
People know AI is risky. They just don’t know what to do about it. | TrendLife Blog
New international research from TrendLife reveals a wide gap between AI adoption and awareness of AI-powered threats.
AI Billionaires Are Starting to Get Scared
The world's tech billionaires are starting to moderate their rhetoric on AI automation, but that doesn't mean it's all in good faith.
read the article making this argument and it just reinforced the 3d printing analogy. the industry hype with AI is 100x larger, but the pattern was a similar "this is going to change humanity" to "this is going to revolutionize specific industries" to "this will be a fun hobby for eccentrics"
Adam Conover
I’m sorry but “everyone is going to use AI to code their own apps” sounds like “everyone is going to learn HTML and code their own websites.“ like … have you met people? no they’re not
