Technologies of control and our right of refusal | Seeta Peña Gangadharan | TEDxLondon
Most of us don’t realise how much digital systems govern access to our basic public services, like education, health and housing. Even more terrifying is how...
Europe’s Growing Fear: How Trump Might Use U.S. Tech Dominance Against It
To comply with a Trump executive order, Microsoft recently suspended the email account of an International Criminal Court prosecutor in the Netherlands who was investigating Israel for war crimes.
Ben Collins explains how The Onion is thriving by saying what others won’t—and why human-created satire matters in a media landscape increasingly saturated by noise and A.I. slop.
One of the popular uses of "AI" that I truly do not understand involves "brainstorming" – and okay, I admit, I truly do not understanding using "AI" at all with what we know about its politically, psychologically, cognitively, and environmentally destructive effects. I've written before about how "brainstorming" is a Cold War invention, and how marketing has convinced us that we're lacking something that only its products or services can fulfill, that "creativity" is something special that few p
‘The vehicle suddenly accelerated with our baby in it’: the terrifying truth about why Tesla’s cars keep crashing
Elon Musk is obsessive about the design of his supercars, right down to the disappearing door handles. But a series of shocking incidents – from drivers trapped in burning vehicles to dramatic stops on the highway – have led to questions about the safety of the brand. Why won’t Tesla give any answers?
Springer Nature book on machine learning is full of made-up citations
Would you pay $169 for an introductory ebook on machine learning with citations that appear to be made up? If not, you might want to pass on purchasing Mastering Machine Learning: From Basics to Ad…
This was originally titled “I miss when computers were fun”. But in the course of writing it, I discovered that there is a reason computers became less fun, a dark thread woven through a number of events in recent history. Let me back up a bit.
This was originally titled “I miss when computers were fun”. But in the course of writing it, I discovered that there is a reason computers became less fun, a dark thread woven through a number of events in recent history. Let me back up a bit.
At Amazon’s Biggest Data Center, Everything Is Supersized for A.I.
On 1,200 acres of cornfield in Indiana, Amazon is building one of the largest computers ever for work with Anthropic, an artificial intelligence start-up.
Against AI: An Open Letter From Writers to Publishers
To Penguin Random House, HarperCollins, Simon & Schuster, Hachette Book Group, Macmillan, and all other publishers of America: We are standing on a precipice. At its simplest level, our job as …
ENVISIONING CARDS. A VALUE SENSITIVE DESIGN TOOLKIT Use the Envisioning Cards to create ethical technology and improve your design practice. The 2nd Edition consists of 42 Envisioning Cards downloadable in PDF format. DOWNLOAD & PRINT The Envisioning Cards … Continued
I’m not anti-AI. I’m anti-bullshit.
For those struggling to reconcile my work in AI product and strategy with the things I’ve been saying - let me make it plain.
Yes, I help teams build real AI products.
And yes, I refuse to prop up fantasies just because they’re lucrative.
These aren’t contradictions.
They’re what make me credible.
I know what this tech can do. I also know what it can’t. And I know exactly how it’s being spun to look like something it isn’t - not to help people, but to sell illusions dressed up as inevitability.
We’re deliberately engineering the illusion of cognition. Not building minds - just engineering machines that mimic well enough to blur the line.
Augmentation is promised whilst replacement is sold.
And when the flaws emerge - hallucinations, cascading failure modes, confidently wrong outputs at scale - the spin kicks in:
“That’s just temporary.”
“That’s just a data problem.”
“That’s just a prompt away.”
It’s not. It’s structural. It’s endemic to the heart of this technology.
Calling that out doesn’t make me anti-AI. It makes me more qualified to work in this field - because I don’t have to lie to make it useful.
That’s why I’m valuable in what I do.
I don’t just know what to build - I know what not to build.
I understand what we’re building toward.
I understand the moral, ethical, philosophical, reputational, financial implications.
I’m not high on my own supply.
So no I won’t dress this tech in a halo. I won’t help gaslight the world into trusting a system that doesn’t understand a word it says.
But if you want real clarity - the kind that holds up after the hype collapses - then yes, I’m someone worth talking to.
This moment doesn’t need more AI evangelists.
It needs realism. It needs judgment. It needs people who can filter the bullshit and advise with clarity, those who see the cracks and still deliver.
And that’s exactly what I do.
On here, on the frontline, and in the boardroom. | 124 comments on LinkedIn
ILO Live - Revolutionizing health and safety: The role of AI and digitalization at work
AI and digital tools are revolutionizing occupational safety and health. Today, robots are operating in hazardous environments, doing the heavy lifting, managing toxic materials and working in extreme temperatures. They take on repetitive and monotonous tasks, while digital devices and sensors can detect hazards early on. At the same time, in the absence of adequate OSH measures, digital technologies can lead to accidents, ergonomic risks, work intensification, reduced job control and blurred boundaries. On the occasion of World Day for Safety and Health at Work 2025 this event brings together ILO constituents and international experts to explore how AI and digitalization are reshaping OSH systems across sectors and countries.
Why do people have such dramatically different experiences using AI?
For some people, it seems, AI is an amazing machine which - while fallible - represents an incredible leap forward in productivity. For other people, it seems, AI is wrong more often than right and - although occasionally useful - requires constant supervision. Who is right? I recently pointed out a few common problems with LLMs. I was discussing this with someone relatively senior who works…