United States President Donald Trump and top tech executives have signed an accord to "self-police" artificial intelligence, as calls grow for more guardrails to mitigate risks associated with the technology's rapid growth. Trump announced the accord on Tuesday after meeting with a large group of AI company leaders at the White House. The accord - which Trump posted on his Truth Social platform - said the companies would implement "robust internal controls", partner with an "independent external auditor" to assess whether the controls were working, and set up a committee among each company's board of directors to evaluate reports from internal and external auditors. The companies also said they would work to ensure their AI tools do not "hack or access technical systems in unintended ways". "Over time, it may make sense to codify these steps into laws and regulations," the accord said.

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A defense lawyer appealing his client's murder conviction submitted a brief containing made-up police testimony and witnesses fabricated by OpenAI's ChatGPT, New Mexico's highest court has said. The New Mexico Supreme Court in the United States on Wednesday fined the lawyer, Stephen Aarons, and held him in contempt for failing to verify the accuracy of the court filing, which Aarons said he prepared with help from the artificial intelligence (AI) programme. The panel also said Aarons had "demonstrated a lack of remorse and a lack of concern for his client". The justices fined Aarons $5,000 and said they will refer him to an attorney disciplinary board for investigation. Aarons, in a statement to the Reuters news agency, said he had used ChatGPT to summarise the trial proceedings when he agreed to take up the defendant's appeal last year, and did not understand the degree to which AI could "hallucinate" facts.

For example, they might need to process decades of weather data or the movements of millions of insects. Up until now, these scientists and decision makers have had to manually find and sort information, then use statistical tools which often oversimplify the source information. Artificial intelligence (AI) tools now promise to help with all that. But can they deliver on the promise? They are far from perfect.

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When you purchase through links in our articles, we may earn a small commission. AI helps kids do better in school. AI is already a fact of life in classrooms across the country, and studies indicate it may create as many problems as it solves. The best way for us grownups to prepare for AI is to use AI, I've frequently argued. But when it comes to the benefits of using AI, there are far more questions than answers.

AI tools that are used to take medical notes from patients could miss vital information and lead to medical staff being deskilled, according to new research. The tools, called ambient AI scribes, are used by about 40% of GPs in the UK. The scribes listen to conversations between doctors and patients and convert the speech to text, generating written notes and letters. Academics at University of Edinburgh reviewed cases involving the scribes and found the tech had some positives, such as allowing clinicians to focus on complex tasks. However, they also said patients could be less forthcoming if they knew they were being recorded and found instances where doctors did not recognise their notes.

Restaurant menus with AI-generated food images are going viral for their off-putting aesthetic. But AI's impact on modern menus runs even deeper. I can't stop staring at the AI-slop images of Mexican food I see during my morning walk to work. On the menu posted outside, the taco truck displays lunch options that appear uncanny and unappetizing, as if an alien who's never eaten human food before drew a taco from memory. This food truck is not alone in putting AI-generated images on its menu.

The company is reducing pressure on workers to use artificial intelligence tools while encouraging them to experiment with Hatch, its most advanced AI project yet. Meta is formally ending what amounted to a tokenmaxxing incentive program for employees. In an internal announcement this week, the social media giant told workers that their performance evaluations would no longer be dependent upon how much they used AI tools, three employees who received the message tell WIRED. But as Meta workers simultaneously begin testing a new agentic AI tool known as Hatch, they say their token consumption continues to surge. Almost a year ago, Meta had said workers would be graded on their AI-driven impact," which in practice meant evaluating the extent to which they used chatbots and agents to improve their day-to-day work, Business Insider reported at the time . Usage correlated with employees receiving labels such as "AI Native," "AI First," or "AI Enabled," according to a lawsuit filed in July by about two dozen employees arguing that Meta violated US antidiscrimination laws when laying them off in May. New guidance for performance reviews unveiled this week replaces references to evaluating employees based on criteria like "usage of AI" and their "AI Native" designation, with looser wording, which caveats that "these outcomes can be supported by AI or other means." It restores Meta's focus to grading employees on their impact, with less regard to how it is achieved. Some Meta employees tell WIRED the changes are subtle but welcome, freeing them from feeling pressured to use AI in situations in which it doesn't make sense. Meta spokesperson Tracy Clayton tells WIRED that the updates this week aim to emphasize what has always been the case--Meta evaluates employees based on their contributions. He adds that labels such as "AI Native" were never used for performance evaluation. Engineers across the company were told this week that the company "will not use AI adoption dashboards or token counts to evaluate impact," The Information reported on Wednesday. "Are you a current or former Meta employee who wants to talk about what's happening?