Anthropic gives outside AI watchdog “employee-like” access

At a glance
Anthropic has granted external evaluators “employee-like access” to assess the risks of its models, following through on a commitment to increase safeguards over concerns the technology could run catastrophically out of control. METR, a nonprofit that has worked with leading labs including OpenAI, Anthropic, Google and
- Primary source
- Ars Technica - All content — Read original article
- Published
- Topic
Anthropic has granted external evaluators “employee-like access” to assess the risks of its models, following through on a commitment to increase safeguards over concerns the technology could run catastrophically out of control.
METR, a nonprofit that has worked with leading labs including OpenAI, Anthropic, Google and Meta, now has a team embedded in the Claude maker’s office with access to its hardware and internal systems.
A greater role for third-party evaluators is among the main concrete steps the labs have proposed in response to rising concern about the dangers more capable AI systems could pose to the economy, cyber security and humanity at large.
Read full article Comments
This summary comes from Ars Technica - All content. Read the full article at the original source.
References
More in Google

From the Royole FlexPai to the iPhone Duo: How the modern foldable phone has evolved
Apple's iPhone Duo likely forecasts a shift in the market toward foldables becoming more common. But it took a while to get here.

Cities want to put the boot on robotaxis
AUSTIN, TEXAS - APRIL 8: Tesla Cybercabs are lined up on a lot at Tesla Giga Texas in Austin, Wednesday, April 8, 2026. | Image: Getty Images This is The Stepback , a weekly…

Android Auto can be used outside of your car: Here's how
It might sound weird to use Android Auto outside of a vehicle, but doing so has unexpected productivity benefits.

What's actually eating all the storage space on your Android Phone?
Android phone running out of space? Here's why and what you can do to get rid of old files.