A comprehensive federal regulatory framework for AI is neither politically nor technically feasible. A more flexible approach is needed.

With hallucinating chatbots, deepfakes, and algorithmic accidents on the rise, AIUC says the solution to building safer models is pricing the risks.

Sam Altman wants the U.S. government to pull back on AI regulation, but he's also concerned about an impending "AI fraud ...

Superintelligence is why some of the biggest names in tech, including Mark Zuckerberg and Sam Altman, are warring over AI ...

Superintelligence could reinvent society—or destabilize it. The future of ASI hinges not on machines, but on how wisely we ...

Meta Platforms (NASDAQ: META) has appointed Shengjia Zhao, co-creator of ChatGPT, as chief scientist of its newly launched ...

As AI agents start taking on real-world tasks, one startup is offering a new kind of safety net: audits, standards—and ...

AI might already be hiding its real capabilities. That’s what Dr. Roman Yampolskiy told Rogan in a podcast episode that will ...

Soon after taking office, President Donald Trump scrapped Biden-era attempts to regulate AI and called for a new framework to ...

Microsoft's new model-agnostic MAI Diagnostic Orchestrator (MAI-DxO) achieved 85.5 percent diagnostic accuracy—outperforming ...

At a Capitol Hill spectacle complete with VCs and billionaires, Trump sealed a new era of AI governance: deregulated, ...