Most people think AI is risky, but they don’t agree what to do next.
A big-tent or small-tent AI safety movement?
The unstated disagreement that underpins safety debates
AI Researchers On AI Risk
I first became interested in AI risk back around 2007. At the time, most people’s response to the topic was “Haha, come back when anyone believes this besides random Internet crackpots.…
AI in 2025: gestalt — LessWrong
This is the editorial for this year’s "Shallow Review of AI Safety". (It got long enough to stand alone.) …
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.
Safety isn’t safety without a social model (or: dispelling the myth of per se technical safety) — AI Alignment Forum
As an AI researcher who wants to do technical work that helps humanity, there is a strong drive to find a research area that is definitely helpful so…
AI is now unpopular. That may not make a difference.
What it means that the AI research community can't quit twitter - rl-blogging
Some quickly jotted thoughts working through the implications
Nathan J Robinson on Twitter / X
the correct take on the AI risks. not "godlike machine that decides to kill us all" but "machine that makes it much easier for humans to kill one another." from the very sensible @timnitGebru in Wired: https://t.co/wM0ucsN2no pic.twitter.com/vtHQ02my0G— Nathan J Robinson (@NathanJRobinson) September 13, 2026
I'm pretty sure everyone at my company saw this article and now they all think we're in an AI crisis. We're not in an AI crisis. We use Claude to summarize Slack threads. But here's what's actually interesting: this whole panic reveals something nobody wants to admit. Ev
I'm pretty sure everyone at my company saw this article and now they all think we're in an AI crisis.We're not in an AI crisis. We use Claude to summarize Slack threads.But here's what's actually interesting: this whole panic reveals something nobody wants to admit.Every… pic.twitter.com/9RAAjU5r65— IT Unprofessional (@it_unprofession) February 4, 2026
AI and the crisis of the author
Editor’s note (September 21, 2026): We have removed this essay. AI was used in its preparation. The TLS editorial guidelines prohibit the use of AI in the
Nathan Witkin on Twitter / X
Does anyone disagree that pretty much every piece of empirical evidence we have about actually existing AI points toward a labor-augmenting technology with a more-or-less ordinary risk profile (no worse than cars, guns, nuclear power, social media, etc.)?On the labor front, the…— Nathan Witkin (@NateWitkin) October 5, 2026
AI Safety Is a Narrative Problem · Special Issue 5: Grappling With the Generative AI Revolution
This op-ed explores power and narrative dynamics around AI. Drawing on pop-culture references, the professional experiences of the author and examples from 2023’s “Great AI Safety Hype Roadshow,” this piece draws on the literary criticism technique of practical criticism to consider how speeches and announcements from both Silicon Valley executives and research scientists to interrogate the media-friendly nature of p(doom) discourse—which focuses on the existential risks of AI (PauseAI, 2023)—and its likely consequences. The complexities of AI and its numerous social impacts can be difficult for even the most expert analyst to unpack. In spite of this, the potential of “existential threats” has successfully cut through to become a mainstay of mainstream media coverage over the last year. This piece will make the case that this is an effective narrative conceit that has achieved a number of ends that traditional science communication tends to find difficult, if not impossible, to achieve. Firstly, it is easy to understand. Simplification of this nature—that removes jargon and complexity and focuses on a single outcome—is much easier to fit on a TV rolling news ticker or on the cover of a tabloid newspaper than more well-balanced, representative opinions. Secondly, it inherits prior assumptions from well-known dramatic forms. P(doom) plays to stories familiar from Greek tragedy through to Marvel movies, in which lone male heroes battle ineluctable forces. Thirdly, it is imbued with urgency and so becomes difficult to ignore.
AI Safety Is a Narrative Problem · Special Issue 5: Grappling With the Generative AI Revolution
This op-ed explores power and narrative dynamics around AI. Drawing on pop-culture references, the professional experiences of the author and examples from 2023’s “Great AI Safety Hype Roadshow,” this piece draws on the literary criticism technique of practical criticism to consider how speeches and announcements from both Silicon Valley executives and research scientists to interrogate the media-friendly nature of p(doom) discourse—which focuses on the existential risks of AI (PauseAI, 2023)—and its likely consequences. The complexities of AI and its numerous social impacts can be difficult for even the most expert analyst to unpack. In spite of this, the potential of “existential threats” has successfully cut through to become a mainstay of mainstream media coverage over the last year. This piece will make the case that this is an effective narrative conceit that has achieved a number of ends that traditional science communication tends to find difficult, if not impossible, to achieve. Firstly, it is easy to understand. Simplification of this nature—that removes jargon and complexity and focuses on a single outcome—is much easier to fit on a TV rolling news ticker or on the cover of a tabloid newspaper than more well-balanced, representative opinions. Secondly, it inherits prior assumptions from well-known dramatic forms. P(doom) plays to stories familiar from Greek tragedy through to Marvel movies, in which lone male heroes battle ineluctable forces. Thirdly, it is imbued with urgency and so becomes difficult to ignore.
An End-to-End View of AI Safety
In this blog, Rachel Coldicutt OBE, Executive Director, Careful Industries discusses our newly published literature review on the safe adoption of artificial intelligence in engineered systems.
