Bias

A new regulatory body created by the European Union promises to peer inside the black boxes that drive social media recommendations. The European Centre for Algorithmic Transparency (ECAT) will study the algorithms that identify, categorize...

Do language models have their own opinions about politically charged issues? Yes — and they probably don’t match yours. Shibani Santurkar and colleagues at Stanford compared opinion-poll responses of large language models with those of various human groups.

A pioneer of deep learning joined the chorus of AI insiders who worry that the technology is becoming dangerous, saying that part of him regrets his life’s work.

Meta’s effort to make a large language model available to researchers ended with its escape into the wild. Soon after Meta started accepting applications for developer access to LLaMA, a family of trained large language models...

AI hobbyists created an homage to their favorite TV show . . . until it got knocked off the server. The creators of Nothing, Forever launched a fully automated, never-ending emulation of the popular TV show Seinfeld.

The United States government published guidelines designed to help organizations limit harm from AI. The National Institute for Standards and Technology, which recommends technological standards in a variety of industries, released the initial version of its AI Risk Management Framework.

This year we really started to see the mainstreaming of AI. Systems like Stable Diffusion and ChatGPT captured the public imagination to an extent we haven’t seen before in our field.

Researchers pushed the boundaries of language models to address persistent problems of trustworthiness, bias, and updatability.

Pictures produced by AI went viral, stirred controversies, and drove investments. A new generation of text-to-image generators inspired a flood of experimentation, transforming text descriptions into mesmerizing artworks and photorealistic fantasies.

Companies are using AI to screen and even interview job applicants. What happens when out-of-control algorithms are the human resources department?

A state in Australia plans to outfit prisons with face recognition. Corrective Services NSW, the government agency that operates nearly every prison in New South Wales, contracted the U.S.-based IT firm Unisys to replace a previous system.

EPIC published a summary of AI-related laws that states and cities considered between January 2021 and August 2022.

Images in the wild may not come with labels, but they often include metadata. A new training method takes advantage of this information to improve contrastive learning.

Microsoft tightened the reins on both AI developers and customers.What’s new: The tech titan revised its Responsible AI Standard and restricted access to some AI capabilities accordingly.

Regulators are forcing Meta (formerly Facebook) to display certain advertisements more evenly across its membership. The United States government compelled Meta to revise its ad-placement system to deliver ads for housing to members regardless of their age, gender, or ethnicity.