Value-sensitive design and algorithmic bias
AI Mania Is Eviscerating Global Decisionmaking
The reality of how much damage AI mania is doing to our ability to run institutions effectively.
Generative AI Is an Engineering Disaster
A shockingly inefficient trillion-dollar project
To Gen or Not To Gen: The Ethical Use of Generative AI
Is it ethical to use hyper-scaled GenAI?
Potentially Useful | Hating AI in 2026
Being anti-AI feels like being anti-war
Black prisoners are assigned harsher living conditions in Ontario jails—thanks to AI ⋆ The Breach
Ontario jails are using a program that claims it can predict prisoners’ behaviour, disproportionately putting Black prisoners in higher-security facilities
Prophets without profits
The government’s favourite provider of child protection software, SafeToNet – a perpetually loss-making firm run by recently born-again Christians – has finally filed its long-delayed accounts. The…
What I Learned About Billionaires at Jeff Bezos’s Private Retreat
For the richest men on Earth, everything is free and nothing matters.
Age Verification and Age Gating: Resource Hub
Age verification (or age-gating) laws generally require online services to check, estimate, or verify all users’ ages—often through invasive tools like ID checks, biometric scans, or other dubious
AI Safety Is a Narrative Problem · Special Issue 5: Grappling With the Generative AI Revolution
A Leak of San Francisco Police Drone Footage Exposes the New Reality of Urban Surveillance
The SFPD’s exposure of hours of videos from drone platform Skydio reveals how broadly it’s watching the city from above—and how the results can spill online.
Commentary: Cory Doctorow: Hell Is Other People - Locus
So this is hell. I'd never have believed it. You remember all we were told about the torture-chambers, the fire and brimstone, the 'burning marl.' Old wives' tales! There's no need for red-hot pokers. HELL IS – OTHER PEOPLE! –Jean Paul Sartre, No Exit Sartre was (arguably) an optimist. It's not that other people are unpleasant: quite the contrary! There's nothing that makes the day (or, pointedly, the night) …Read More
Assays of Bias: LLMs and Geometries of Meaning
Trying to understand how LLMs represent meaning by way of a discussion of Cleanth Brooks's account of poetic paradox.
AI Is a Product of Humanity. Humanity Should Own AI.
Big Tech has looted humanity’s creative output to create artificial intelligence. We don’t just deserve a share of AI’s profits — we deserve control over it.
The Dalles spent 13 months fighting to keep Google’s water use secret — then records showed the data center campus consumed roughly a third of the Oregon city’s supply
In 2022, Google sued to keep its water use in The Dalles, Oregon secret. When the numbers finally came out, the company's data centers were drinking 29 percent of the town's water.
Data Centers Are a Climate Enemy w/ Ketan Joshi
Tech Won't Save Us · Episode
Ethics of ChatGPT and AI
Video lecture for Rurality, Livelihoods, and Gender at the Swedish ...
Turing test
Critically analysing the Turing test.
Microsoft’s AI Buildout Sent Carbon Emissions Up 25% Last Year
Demand for AI is expanding, but sustainability solutions are “not scaling fast enough,” Microsoft reported.
“Just Unplug It”: Woman Questions Why Residents Must Conserve Water While Data Centers Continue Operating
As demand for cloud computing and artificial intelligence grows, data centers are expanding across the country, and in order to keep these centers running, they rely on massive amounts of electricity ...
5 Data Center Cooling Methods Compared
Discover which data center cooling method and technology delivers the best balance of cost, efficiency, and sustainability for your facility.
On the Philosophical Naivety of Engineers in the Age of Machine Learning - Topoi
This paper examines the paradoxical decline in engagement with philosophy of science among engineers precisely when machine learning (ML) systems are increasingly performing complex epistemological functions in engineering practice. We identify how philosophical naivety, characterized by the uncritical adoption of reductive frameworks regarding consciousness, intelligence, and ethics, creates tangible organizational and technical liabilities. We then demonstrate how conceptual limitations in engineers’ philosophical foundations lead to three primary flaws: 1) ontological misclassification of system capabilities, 2) ethical blind spots in ML system design and application, and 3) inadequate epistemological approaches and hidden philosophical commitments for interpreting model outputs. Thus, we argue that renewed engagement with the philosophy of science is not merely academic but necessary for engineers to maintain epistemic authority and responsibility in an era where engineering judgment is increasingly delegated to or mediated by ML systems. In response, we propose a technical-philosophical framework integrating perspectives from philosophy of mind, ethics, epistemology, and engineering to address these shortcomings systematically.
Konrad Hinsen's blog
Ironies of Automation - Wikipedia
scientific article published in November 1983
Naomi Klein: AI is a fascist idea
The fossil fuel industry is obsessed with AI. Chatbots and other ...
AI Is A Slavery Fetish
The wet dreams of our overlords
US residents angry at datacenters ‘being shoved down our throats’ are recalling officials
People across the country are pushing for moratoriums, and electeds who approve projects are being punished
Does AI have speech rights?
Journalists using LLMs should know about the implications for their First Amendment protections.
AI chatbots are giving out people’s real phone numbers | MIT Technolo…
archived 13 May 2026 18:47:27 UTC
What happened to the fight for the Internet? -- Dustycloud Brainstorms