Digital Ethics

Today's LLMs are built on a foundation of data theft, exploitative labor practices, and unsustainable energy and water consumption.

Analog computing has not disappeared, and its intrinsic value of speed and energy efficiency is the perfect match for the programmability and precision of digital computing.

AI facilities and data centers use substantial water to cool their servers and could consume 25% of U.S. power by 2030.

Exclusive: Two-thirds of housing benefit claims marked as high risk in last three years were legitimate, figures show

A new report suggests the Rwandan government’s backers on X have been using Large Language Models to flood the platform

We're talking about the Turing Test, the grandmother of all tests for AI sentience. Joining us are AI researchers Alex Hanna and Emily M. Bender, hosts of the Mystery AI Hype 3000 podcast. We discuss why the Turing Test is so influential in both fiction and reality – and why it is completely wrong.

It’s bot versus bot on the hiring front lines, as job hunters turn to new tools to counter the AI that’s screening their applications.

LAION-5B is an open-source foundation dataset. It contains 5.8 billion image and text pairs—a size too large to make sense of. We follow the construction of the dataset to better understand its contents, implications and entanglements.

New artificial intelligence data centers are coming online so fast that the electricity demand is straining global power grids and threatening clean energy goals.

Central Ohio has become a big hub for data center facilities, but they have the potential to put serious strain on the electric grid and other natural resources.

Cheryl Tevis Bubbling up beneath the surface of the Iowa Utility Board’s pending decision whether Summit Carbon’s proposed pipeline is justified by “public convenience and necessity” is the equally critical question of whether granting permits allowing Summit to siphon significant amounts of public water resources meets the state’s legal standard of being “put to beneficial

New artificial intelligence data centers are coming online so fast that the electricity demand is straining global power grids and threatening clean energy goals.

Apple and the satellite-based broadband service Starlink each recently took steps to address new research into the potential security and privacy implications of how their services geo-locate devices. Researchers from the University of Maryland say they relied on publicly available…

An investigation uncovers a web of influence in the powerful coalition aligned behind the European Commission’s proposal to scan for child sexual abuse material online, a proposal leading experts say puts rights at risk and will introduce new vulnerabilities by undermining encryption.

It turns out, that the EU's push to completely abolish digital privacy might not actually be an altruistic move to save children from abuse. Several tech companies, including one headed by Ashton Kutcher and Demi Moore, stand to profit substantially from the decision. Which is why they massively influenced it.

Foundational innovation in cloud technology and artificial intelligence will require more energy than ever before—shattering any illusion that we will restrict supplies.

What does the rise of partisan sectarians portend for the rest of us?

AI and data center grifting: example 2345 Data centers create few jobs. Michigan wants to give them big tax breaks. Why do governments all over the world want…

A WIRED investigation shows that the AI search startup Perplexity is surreptitiously downloading your data.

What happens when AIs invade our feeds?

Data centers use tremendous amounts of electricity and water, but often the public is kept in the dark about such things.

"The concept of efficiency — how much one can accomplish per unit of time (or per dollar, etc.) — requires a quantitative numerator as well as a denominator… | 32 comments on LinkedIn

·      Billionaires are responsible for a million times more CO2 than normal person ·      125 ultra-wealthy individuals emit more CO2 than 85…

"LLMs don't memorize things. They *grok*. They pattern match. But they can't replicate their input data." It's an argument I hear daily. It's a nice idea,… | 42 comments on LinkedIn

Could AI’s rhetorical edge lead us astray? New research suggests that we find computer-generated moral reasonings more appealing than those penned by humans.

Big tech is playing its part in reaching net zero targets, but its vast new datacentres are run at huge cost to the environment, says economics professor Mariana Mazzucato

The debate about the ethical implications of Artificial Intelligence dates from the 1960s (Samuel in Science, 132(3429):741–742, 1960. 10.1126/science.132.3429.741; Wiener in Cybernetics: or control and communication in the animal and the machine, ...