Artificial Intelligence

Researchers at the Stanford Institute for Human-Centered AI and the university’s RegLab recently published a study demonstrating how large language models can help identify discriminatory local laws. The AI system helped human reviewers identify thousands of local statutes that could violate anti-discrimination laws by treating people differently based on race, gender, and citizenship. HAI fellow Daniel E. Ho, who helped conduct the study, said AI is well-suited for the task because of the sheer scale of local laws.

Rep Michael McCaul (R-TX)—founder and co-chair of the Congressional Childhood Cancer Caucus—introduced the 

We are facing the multi-trillion-dollar march of private artificial intelligence (AI) data centers into our economy, politics, ecosystem, and cultural life. Amid calls for blanket moratoria and investments in data centers in space, how can the public assert a controlling interest in the development and outcomes of this technology? This essay proposes developing municipally owned, small-scale data center capacity to support municipal services and public-interest AI.

President Donald Trump tried to shut down a burgeoning push for the United States to further regulate artificial intelligence, saying the U.S.

The increasingly urgent pleas from leading tech executives to slow the advance of artificial intelligence are confronting one daunting obstacle: It’s not entirely clear how they could do that. A slowdown could involve releasing frontier models less frequently, requiring approval before deploying systems with powerful cyber or biological capabilities, giving independent monitors access to AI labs, or negotiating limits with China.

Spectate or participate. Those are the options on the table for operators as the AI revolution rolls on, Alianza CEO Brian Beutler argued. And the choice could mean the difference between hitching up to a growth engine or being left behind as a dumb pipe—again. Alianza recently unveiled Crux, a new orchestration platform designed to enable operators to tap into the AI voice market.

Telecommunications firms have been touting AI as a cost saver, using it to justify thousands of layoffs. But while the humans are disappearing, the costs aren’t always following suit.

A new nationwide survey by Elon University’s Imagining the Digital Future Center (ITDF) reveals U.S. adults’ attitudes about the expanding use of LLMs and their deepening impact on essential aspects of being human: human connection, purpose, agency and critical thinking. 

The White House, Congress and the country's leading AI companies have allowed AI to grow faster, stronger, more powerful and wildly lucrative (and dangerous), with no serious effort to control it or spread the benefits beyond the super-wealthy. It's not too late to change this. But if they all dither, duck or dance around it, the chances of AI worst-case scenarios will explode, likely early in 2027, according to people who truly understands AI. Yes, President Trump opposes regulation or bipartisan efforts. Yes, AI companies are obsessed with more money, more speed.

A week of extraordinary warnings about