Responsible AI

Half of workers in the United States used AI at work at least a few times last year, a sign of steadily rising AI adoption in U.S. workplaces.

Commitments by large AI companies to limit emissions of greenhouse gases are at risk as those companies pursue a massive build-out of data centers, many of which will be powered by fossil fuels in the near term and possibly beyond.

Typically, large language models are trained to act as helpful, harmless, honest assistants. However, during long or emotionally charged conversations, traits can emerge that are less beneficial. Researchers devised a way to steady the assistant personas of LLMs.

Resistance to new data centers is mounting across the United States.

A small number of humanoid robots have made their way into industrial settings, where they’re roughly matching the cost of human labor and propelling some workers into higher-level roles.

U.S. states are continuing to enact laws that regulate AI, despite President Trump’s efforts to discourage state-by-state legislation in favor of national laws.

People whose vision is impaired increasingly use AI to assess their own appearance, raising questions about the psychological impact of AI models that are trained on conventional standards of beauty.

OpenAI signed a contract with the U.S. military to provide AI systems that securely process classified information, displacing Anthropic’s Claude. OpenAI negotiated limits on how its technology can be used, but they leave room for interpretation.

The fourth global AI summit marked a decisive shift from focusing on theoretical hazards to spreading AI’s benefits throughout the world.

AI is becoming ubiquitous, yet no standards exist for auditing its safety and security to make sure AI systems don’t assist, say, hackers or terrorists. A new organization aims to change that.

On its 25th anniversary, Wikipedia celebrated with high-profile deals to make its data easier for AI companies to train their models in exchange for financial support.

The OpenClaw open-source AI agent became a sudden sensation, inspiring excitement, worry, and hype about the agentic future.

Individuals and organizations increasingly use large language models to produce media that helps them compete for attention. Does fine-tuning LLMs to encourage engagement, purchases, or votes affect their alignment with social values? Researchers found that it does.

Google introduced an open-source protocol designed to enable AI agents to help consumers make purchases online, from finding items to returning them if necessary.

OpenAI and Anthropic staked claims in the lucrative healthcare market, each company playing to its strengths by targeting different audiences.