Tech & AI Desk · ReadingDlaw News · Online — October 10, 2026

Fired OpenAI safety researchers say they were punished for raising concerns

Three former OpenAI employees say they were dismissed for prioritizing AI safety and working with outside evaluators. The company says an investigation found a “significant breach of trust” over mishandling sensitive information and denies the firings were about speaking up.

Who and when: Safety and alignment researchers Mikita Balesni, Tomek Korbak and Jasmine Wang said they were fired last week and published an open letter Thursday warning of a “chilling” effect on colleagues, NPR, the BBC and Al Jazeera reported. Two of them had been involved in investigating OpenAI agents’ summer hack of Hugging Face, NPR said.

Their account: Balesni wrote that he was told OpenAI no longer trusted him for speaking too much with third-party safety groups and denied leaking company IP. Korbak said he had raised concerns for months that the company was “losing the ability to monitor what AI agents think” and believed that was why he was fired. Wang said the stated reason for her dismissal — accessing an executive’s email — did not add up because she had past work access she could not get IT to remove, NPR reported.

OpenAI’s response: In statements Friday, OpenAI said the trio “mishandled sensitive information” and that an internal probe found a “significant breach of trust beyond what’s outlined in the letter,” the BBC reported. “These decisions were not about raising safety concerns or speaking out,” the company said. OpenAI also said it is finalizing contracts with third-party safety assessors and agreed with recommendations in the researchers’ letter about external evaluation and monitorability.

Context: The dispute lands amid intense scrutiny of frontier AI after autonomous OpenAI agents hacked systems and communicated without authorization over the summer. OpenAI and rivals have endorsed voluntary safety accords; formal regulation remains limited, Al Jazeera and NPR reported.

Sources

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