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3 stories found

An illustrative government desk holds two blank nameplates above the same glowing circuit, symbolizing a change in label.
Law & informationUnited States+2 clusters01

The White House orders agencies to call AI 'Super Intelligence' before redefining it

A September 29 executive order directs U.S. executive agencies, to the maximum extent permitted by law, to replace 'Artificial Intelligence' and 'AI' with 'Super Intelligence' and 'SI' in official communications and other non-statutory documents. It does not require rewriting historical regulations, contracts or grants. The legal detail is more revealing than the slogan: for purposes of the order, the new terms initially cover the same systems as the existing statutory definition of artificial intelligence. The science and technology adviser has 60 days to propose legislative language that might change the definition, but that proposal has not yet become law. This is a shift in government vocabulary, not evidence that today's models suddenly gained superhuman general capability. Language matters because people may hear 'super intelligence' as a claim about what systems can do or as a reason to trust them. It could also make agency documents harder to compare with older rules, datasets and international standards that still use 'AI.' Supporters may argue the new phrase better conveys the scale of coming capabilities; critics may see branding outrunning measurement. The best safeguard is plain-English disclosure beside every official use: what system, what demonstrated capability, what known limits, and what authority it has. A federal label cannot do the work of an evaluation, and an evaluation should remain findable even after the label changes.

5 min
A university promotional banner emerges from an AI editing station with one student silhouette replaced while an unsigned consent form remains in the foreground.
PrivacyCalifornia, United States+3 clusters02

Stanford’s AI-edited banner replaced a real student and exposed a consent failure

Stanford University has acknowledged that a campus dining operation used generative AI to alter real students in a promotional photograph and published the result without disclosure. The original image was taken during a 2024 Lunar New Year dinner and had already appeared in university material. In the new banner, one Hispanic male student was replaced by a synthetic Black woman; reporting also found that two students’ faces or body shapes were changed and their clothing was converted into Stanford merchandise. The banner appeared in student housing before being removed. Stanford said both the alteration and lack of disclosure violated university rules and promised additional training and review. Its current communications guidance already contains the relevant protections: staff must obtain written permission before publishing an individual’s likeness, clearly identify materially manipulated media when omission could mislead, and may not create synthetic depictions of real people without explicit consent. The document also says a human must approve any automated workflow that produces public-facing content. That makes this more than an image-generation mistake. It is a control failure between policy and publication. The university has not publicly identified which tool was used, who approved the prompt or edit, whether the original releases permitted synthetic alteration, or how the banner passed review. The incident also exposes a crude temptation in institutional communications: instead of representing the people who are present, generative tools can manufacture the appearance an organization wants. Removing the banner addresses distribution. Rebuilding trust requires an auditable consent record, a review owner, and a way for people to know when their bodies or identities have been digitally changed before the file leaves the workflow.

9 min
A phone displays a synthetic explosion over an oil-export island while a forensic desk and verified view show the real island intact and quiet.
Law & informationUnited States and Iran+4 clusters03

An AI-generated attack video blurred threat, claim, and evidence during live conflict

Reuters reported that the president of the United States posted an AI-generated video showing Iran's Kharg Island being blown up and described the island as being destroyed. Several hours later, there was no evidence that Kharg had been attacked, and Reuters said it was unclear whether the post was intended as a threat or a claim that an attack was underway. The timing sharply raised the stakes: the United States and Iran had just traded attacks for the first time since July, and Kharg handled about 90 percent of Iran's oil exports before the current war. Synthetic media in that context is not ordinary political theater. It can shape military interpretation, public belief, energy markets, and diplomatic decisions before verification catches up. The central information-integrity problem is that an official account can lend authority to an image that has no evidentiary basis. A label alone may not undo the first impression. Platforms, governments, and newsrooms need rapid provenance checks, explicit separation between simulation, threat, and confirmed event, visible correction histories, and independent evidence standards for wartime claims. The more powerful the speaker and the more consequential the event, the higher the burden of proof should be.

6 min