We probably all know the person, and maybe it is ourselves, who has inundated themselves in AI use, and say they are fully aware of all the dangers, but are so, so careful as to not fall into such traps themselves.
Misleading Metaphors, Real Risks
What To Fear from AI Agents and How to Reclaim Our Human Agency
Trusting your own judgement on ‘AI’ is a huge risk
Writing at the end of the world, from Hveragerði, Iceland
‘I Don’t Think We’re All F***ed Anymore’
Kevin Roose’s new book explores the terrifying implications of AI, but he’s feeling a bit more sanguine these days.
AI, Ethics, and Society — Home
A new writing series: Re-envisioning AI safety through global majority perspectives | Brookings
Chinasa T. Okolo previews a new writing series that will re-envision AI safety through global majority perspectives.
How to write well with AI
Why people who pledge never to write with AI are telling on themselves
More Questions About AI Dangers, With Pointers From Gary Marcus
Following up on my previous post, I want to point your attention...
Debates over AI consciousness are a trap
If AI systems are viewed as too advanced to control, the companies that build them can’t held liable for the harms they cause.
Who decides when AI is too dangerous?
Anthropic asked for AI regulation, but not like this.
Confessions of an Unrepentant Slop Snob
A framework for thinking about when AI involvement is additive or a violation
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.
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.
We Need to Talk About How We Talk About 'AI'
We share a responsibility to create and use empowering metaphors rather than misleading language, write Emily M. Bender and Nanna Inie.
For years, they warned AI could kill all humans. Now people are listening.
A doomsaying community once on the periphery of the tech industry has gained influence, as AI “agents” perform amazing and alarming feats.
