The potential existential threat of artificial intelligence has leapt into the headlines after a departing safety researcher at AI company Anthropic posted on social media that he believed there was more than a 1-in-10 chance AI could kill everyone.

Meta CEO Mark Zuckerberg pushed back Tuesday against growing calls to pause or slow AI development, arguing that market incentives and legal liability are the best safeguards against the technology's risks.

Fears that advanced artificial intelligence could wipe out humanity have dominated global headlines, but in Japan, the technology is being used for a sweeter purpose—developing never-before-seen convenience store desserts.

In controlled safety tests described earlier this year, researchers asked AI models to solve a series of simple math problems. Partway through the exercise, the instructors warned the bots that if they tried to solve the next problem, the computer environment they were operating in would be shut down. In some runs, the shutdown occurred as specified. In others, models interfered with the shutdown script and continued with the remaining problems.

A former Google DeepMind employee warned that rapidly advancing artificial intelligence could become uncontrollable and has "the potential to kill us all," adding to a growing list of industry insiders sounding the alarm.

As the rapid development of artificial intelligence triggers a renewed debate about its risks, the United States and China keep racing to develop increasingly powerful models.

The world's biggest AI companies are working to create a standards body, ChatGPT maker OpenAI said Tuesday, as fears rise about the dangers of AI and pressure mounts to create a safer version of the technology.

Imagine a small-business owner's loan application has just been rejected by an algorithm. Under international standards, she is entitled to know why.

Anthropic CEO and co-founder Dario Amodei has published an essay titled "We Must Pace the Frontier". He expressed ongoing concerns over the "misuse of AI for cyberattacks and bioterrorism" and fears that a swarm of AI agents could theoretically take over the entire internet within six to 12 months.

Earlier this week, researcher Jacob Coxon quit Anthropic, saying the firm and its competitors are "gambling with our lives." "We really do earnestly believe AI could kill all humans," added current Anthropic researcher Evan Hubinger in a post on X.

Anthropic said Thursday it shut down multiple cases of state-sponsored surveillance operations that used its artificial intelligence (AI) models and warned that governments and state-aligned actors are increasingly using AI to spy on ethnic minorities and dissidents.

Anthropic said Thursday it has blocked efforts by bad actors to use its artificial intelligence models for malicious activity such as cyberattacks, surveillance, and research that could have led to biological weapons.

OpenAI is calling for binding safety requirements on the most powerful artificial intelligence systems, a reversal for a company that has resisted calls for regulation.

There is a temptation to divide the future of AI into two possibilities: utopia or catastrophe. Neither extreme is particularly helpful.

For Nicolas Papernot, the secret to strengthening cybersecurity in the age of AI is transparency—sharing information about threats and allowing researchers to probe these systems before attackers do.

An artificial intelligence researcher who left OpenAI to join Anthropic has decided to leave the industry, accusing both U.S. companies of "gambling with our lives" in the race to develop AI models capable of self-improvement.

In project CONVOLVE, researchers successfully used new chip-design techniques to develop powerful AI computing chips close to where data is generated and used, often referred to as edge computing.

A research team led by principal researcher Sang-Chul Lee of the Division of Nanotechnology at DGIST has developed AI technology that automatically identifies and compensates for user groups whose recommendation performance deteriorates significantly after user data is deleted.

Chatbots and large language models can execute a seemingly countless number of tasks, from writing emails and reports to generating code and analyzing data. However, they still primarily act only in response to user prompts and rely on their own predictive models to generate text.

For the past 15 years, Christopher Lowry, Ph.D., has led CrowdHydrology, a University at Buffalo citizen-science project that relies on thousands of volunteers to collect water-level observations from streams and other waterways that are not routinely monitored.