Fired OpenAI safety researchers dispute misconduct claims, warn of chilling effect

摘要: Jasmine Wang, Tomek Korbak, and Mikita Balesni, the three safety researchers that OpenAI

fired last week

, have published an open letter denying the

正文

Jasmine Wang, Tomek Korbak, and Mikita Balesni, the three safety researchers that OpenAI

fired last week

, have published an open letter denying the firm’s claims that they mishandled sensitive information outside of established company procedures and warned that their dismissal signals a chilling effect that will have ripple effects across the company’s culture.

“We have become concerned that internal and external communications around our firing have made our former colleagues afraid to speak and operate in ways that, until last week, were an integral part of working at OpenAI,” the researchers wrote Thursday in an

open letter

to OpenAI’s Safety and Security Committee, Safety Advisory Group, and Mission Advisory Council.

The researchers were dismissed last week after allegedly sharing confidential company information with a third-party AI safety organization. OpenAI said they violated the company’s policies by “accessing and handling sensitive company information.”

“AI is not a normal technology, and OpenAI is not a normal company,” Wang, Korbak, and Balesni wrote. “Those of us who work on safety see risks before anyone else, and we rely on close collaboration with outside experts to work out how to address them. The freedom to do so without fear, and to have well-defined internal procedures that enable this work, is itself an essential safety mechanism.”

They said that their firing represents a broader shift in the culture of OpenAI, one that used to encourage workers to “raise safety concerns and disagree openly.” They said employees are now “unclear on where they stand” when behavior that was allegedly normal a month ago is now suddenly grounds for dismissal.

“Given the significant safety concerns surrounding the development of AI, employees must not be left working in an environment where fear and unclear rules stymie AI safety work and weaken third-party accountability,” they wrote. “Terminations such as ours, executed and communicated so abruptly, a

来源: TechCrunch AI