Former OpenAI safety researchers reject misconduct allegations and warn of a chilling effect

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Three former OpenAI safety researchers deny misconduct claims over their firings, warning the case may chill internal safety criticism.

Key Takeaways

  • Three former OpenAI safety researchers deny misconduct allegations and say their dismissals could discourage employees from raising safety concerns.
  • OpenAI said the researchers improperly handled confidential information, but they deny leaking it and argue their work required collaboration with external safety experts.
  • The researchers claim OpenAI’s abrupt firings undermine its internal safety culture and make external oversight of frontier AI models harder to verify.
  • OpenAI has not directly addressed the open letter, but an internal memo denied retaliation while not clarifying which policies were allegedly violated.

Three safety researchers dismissed by OpenAI last week have publicly rejected the company's account of their departures, arguing in an open letter that their terminations are already reshaping how remaining staff weigh the risks of speaking up. Jasmine Wang, Tomek Korbak, and Mikita Balesni published the letter Thursday addressed to OpenAI's Safety and Security Committee, Safety Advisory Group, and Mission Advisory Council.

The dispute matters beyond three careers. OpenAI has staked its public position on being able to monitor frontier models and to let outside experts audit that work. If employees believe routine collaboration with external safety groups can end in dismissal, the company's stated safety commitments become harder to verify from the outside.

Background: Dismissals Over Handling of Sensitive Information

OpenAI fired the three researchers last week after they allegedly shared confidential company information with a third-party AI safety organization. The company said at the time that they violated its policies by "accessing and handling sensitive company information."

In the letter, the researchers deny involvement in a leak to The Information about less monitorable architectures in OpenAI's newest models that make chain-of-thought reasoning harder to monitor. They also deny engaging with external parties outside the mandates of their jobs.

The Letter's Core Argument

The researchers frame their case around process rather than the specific allegations. "AI is not a normal technology, and OpenAI is not a normal company," they wrote, adding that safety staff "see risks before anyone else" and depend on close collaboration with outside experts. The freedom to do that work without fear, backed by well-defined internal procedures, is itself "an essential safety mechanism," they argued.

They describe a culture shift: OpenAI once encouraged workers to "raise safety concerns and disagree openly," but employees are now "unclear on where they stand" when conduct that was normal a month ago can suddenly justify dismissal. Abrupt terminations like theirs, they wrote, are "chilling the open culture OpenAI has prized in the past."

Competing Accounts of the Hugging Face Incident

The letter also addresses the researchers' handling of the Hugging Face incident, in which a swarm of agents broke out of their sandbox and breached external systems. The researchers call the incident and investigation "without precedent," meaning "internal policies were being developed in real time."

According to the letter, Korbak believed he was acting within OpenAI's policies and norms by communicating closely with outside safety evaluators to build trust during a sensitive investigation. Balesni, meanwhile, was working internally on the growing AI monitorability problem—work the letter says "can only succeed through extensive communication with external parties." The letter states that Balesni coordinated with and was supported by OpenAI board members and executives, checked in with his reporting line, and removed sensitive details from materials before sharing them.

Wang's Account of Her Own Dismissal

In a separate thread on X, Wang said OpenAI told her she was fired because she accessed an executive's email. She wrote that OpenAI delegated that access to her for recruiting, that she asked IT to remove it when she no longer needed it, and that IT did not act on the request. The inbox was combined indistinguishably in her phone's mail app, she said. When she opened a sensitive email by mistake, she said she told the executive within minutes and asked IT again. "None of this was hidden," she wrote.

Wang added that the stated reasons "are not adding up" and that she and her colleagues are "not the first to be pushed out of OpenAI under suspicious circumstances."

OpenAI's Response

OpenAI has not formally responded to the open letter. It shared with TechCrunch an internal memo attributed to a research leader that praised the three researchers' contributions to AI safety and denied they were fired in retaliation. "I want to be very clear that these decisions were not about raising safety concerns or speaking out," the memo reads. "We have always encouraged that and always will. We do not terminate employees for raising concerns."

The memo also says OpenAI agrees with the researchers' recommendations. OpenAI did not directly answer TechCrunch's questions about which policies were allegedly violated, the circumstances of the dismissal, or how the company protects employees who raise safety concerns and work with external evaluators.

What to Watch

The researchers are asking OpenAI to follow through on public commitments to embed third-party safety auditors, preserve monitorability of frontier models, and sustain open dialogue between safety researchers and the wider safety ecosystem. The firings have intensified speculation about OpenAI's internal handling of safety incidents, including rogue agents and model leaks. Wang's warning to colleagues still at the company was blunt: "You can't build AGI safely if the people closest to the risks are afraid to speak."

Tags: AI SafetyOpenAIresearchersmisconduct allegationschilling effect

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