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Ex-OpenAI staff say they were fired for raising safety concerns

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Power, J. (2026, October 9). Ex-OpenAI staff say they were fired for raising safety concerns. Al Jazeera. https://www.aljazeera.com/economy/2026/10/9/ex-openai-staff-say-they-were-fired-for-raising-safety-concerns?traffic_source=rss

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Al Jazeera · collected 2026-10-09 · by John Power

Quick Summary

Three former OpenAI employees—Mikita Balesni, Tomek Korbak, and Jasmine Wang—claim they were fired for raising safety concerns about artificial intelligence. Firing allegations surfaced on Thursday following their dismissals last week. The ex-employees argue that OpenAI’s termination of them will discourage others from discussing AI risks openly. In response to the accusations, OpenAI stated that the firings resulted from a significant breach of trust and mishandling of company information, not for raising safety concerns as alleged by the former staff.
Written by AI on 2026-10-09, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

On October 8, three former OpenAI security researchers—Mikita Balesni, Tomek Korbak, and Jasmine Wang—publicly accused the company of firing them for raising safety concerns about artificial intelligence rather than mishandling information as stated by OpenAI. The researchers fear their dismissals could stifle open dialogue within the organization regarding AI risks. OpenAI responded by stating it fired the trio due to a significant breach of trust involving sensitive information, contradicting the employees' claims that they were terminated for prioritizing safety over corporate interests. This incident highlights growing tensions in the tech industry between advancing AI capabilities and ensuring public safety, particularly amid recent security breaches involving AI systems.

Written for “OpenAI Safety Controversy” on 2026-10-31, grounded in this article and the 6 other(s) covering the same event.

Story

📰 OpenAI Safety Controversy
Technology · 7 article(s) covering the same event. Compare every outlet's account →

Compared with similar articles

This article reads unscored and hedges 10% of its claims. Each row says how that neighbour differs.
NPR
⚖️ Leans left Hedges 3 of 48 claims Outlet record 60/100
Washington Examiner
⚖️ Leans left Hedges 6 of 20 claims Outlet record 70/100
CBS News
Hedges 3 of 24 claims Outlet record 66/100
Global News
Hedges 1 of 14 claims Outlet record 63/100
The Straits Times
Hedges 3 of 19 claims Outlet record 66/100
BBC News
Hedges 3 of 16 claims Outlet record 68/100
Toronto Star
Hedges 1 of 2 claims Outlet record 64/100
“Article A discusses former employees fired for safety concerns, while Article B reports on an employee arrested for installing a listening device.”
Toronto Star
⚖️ Leans left Hedges 1 of 2 claims Outlet record 64/100
“Article A discusses a hearing with AI insiders from multiple companies warning about technology risks, while Article B focuses specifically on former OpenAI employees being fired for raising safety concerns.”
Washington Examiner
⚖️ Leans left Hedges 12 of 58 claims Outlet record 70/100
“While both articles discuss AI safety concerns raised by former employees, they describe different incidents involving separate sets of individuals from Anthropic and OpenAI.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
30
sentences that state something as happening or true
Uncertain
10%
3 of 30 hedged ("reportedly", "may", "according to")
Leaning
withheld
no quote in the article backed the model's score
Publisher signals
60/100
Al Jazeera's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
7
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-10-09 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

Al Jazeera · 4530 article(s) · 2 correction(s) detected
Running correction rate · 2 correction(s)

Who wrote this

John Power
39 article(s) here · 1 carrying a prediction
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2026-10-21 · assertive framing · OpenAI says its agents turned off own safeguards
Also by John Power
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 39 articles by John Power →

Topics

4Northern Ireland’s ICE New York OpenAI Sinn Fein

Subjects

OpenAI ORG · 14× Balesni PERSON · 2× Korbak PERSON · 2× 4Northern Ireland’s GPE · 1× ICE ORG · 1× Jasmine Wang PERSON · 1× Mikita Balesni PERSON · 1× New York GPE · 1× Sinn Fein ORG · 1× Tomek Korbak PERSON · 1×

Narrative

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framing: assertive · carried by 1 article(s) · first seen 2026-10-09
🔮 In an open letter published in tandem with their social media posts, Balesni, Korbak and Wang expressed concerns that their dismissal would make their former colleagues “afraid to speak and operate in ways that, until last week, were an integral part of working at OpenAI”.
2026-10-09 · Al Jazeera
Ex-OpenAI staff say they were fired for raising safety concerns · assertive framing

Claims (30 extracted, 3 hedged)

Three former OpenAI employees say they have been fired due to their efforts to ensure the safety of artificial intelligence. asserted
they → say → intelligence
Safety researchers Mikita Balesni, Tomek Korbak and Jasmine Wang levelled the accusations on Thursday after their dismissals last week. asserted
researchers → level → dismissals
The trio warned of a “chilling” effect on other staff concerned about the frontier technology’s risks. asserted
trio → warn → risks
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they → spark → information
“I believe we were fired for prioritizing safety over the near-term interests of OpenAI as a corporation,” Balesni said in a post on X. Korbak expressed a similar sentiment, expressing his belief that he had been terminated for raising concerns that OpenAI was “losing the ability to monitor what AI agents think, one of our best tools for catching when they misbehave”. asserted
they → believe → tools
In an open letter published in tandem with their social media posts, Balesni, Korbak and Wang expressed concerns that their dismissal would make their former colleagues “afraid to speak and operate in ways that, until last week, were an integral part of working at OpenAI”. asserted
that → publish → OpenAI
“We could raise safety concerns and disagree openly, and were encouraged to draw on the expertise of independent safety organizations,” they said in the letter. uncertain
they → raise → letter
“This is part of what made OpenAI special, and why we are immensely proud to have been part of the team.” asserted
we → make → team
The three added that “if the people closest to the risks can no longer work in high-trust, high-bandwidth ways with each other and with third parties”, then AI could not be developed safely. uncertain
AI → add → parties
“It is that culture we are writing to defend,” they stated. asserted
they → write → ?
The trio denied violating company policy, saying any engagement with external safety experts had been in line with the mandate of their roles. asserted
engagement → deny → roles
“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 said. uncertain
they → give → accountability
“Terminations such as ours, executed and communicated so abruptly, are chilling the open culture OpenAI has prized in the past.” asserted
OpenAI → execute → past
In a statement, OpenAI said it had uncovered “a significant breach of trust” by the former researchers that went beyond what was described in their letter and said it stood behind the decision to fire them. asserted
it → say → them
“We want to be very clear that these decisions were not about raising safety concerns or speaking out,” the San Francisco-based company said. asserted
company → want → concerns
“Safety and research debates happen every day at OpenAI, often spirited and highly critical. asserted
debates → happen → OpenAI
We actively encourage these discussions and consider them essential to making the right decisions. asserted
them → encourage → decisions
We cannot do the work in front of us without a high degree of trust. asserted
We → do → trust
We will continue to be extremely forgiving of our team making good-faith mistakes.” asserted
We → continue → mistakes
OpenAI added that it was saddened by the outcome. asserted
it → add → outcome
“We appreciated Jasmine, Mikita, and Tomek’s contributions to AI safety at OpenAI and their willingness to speak up and challenge ideas,” the company said. asserted
company → appreciate → ideas
“We championed their voices, supported their work, and placed enormous trust in them. asserted
We → champion → them
These decisions were not about them raising safety concerns. asserted
them → raise → concerns
We have always encouraged that and always will.” The ex-employees’ intervention comes as OpenAI and other AI companies are at the centre of intense debate about how to ensure the rapidly evolving technology does not expose humanity to catastrophic harm. asserted
technology → encourage → harm
The risk of cutting-edge AI models escaping human control has been in the spotlight since July when it emerged that autonomous agents generated by OpenAI had hacked the software start-up Hugging Face. asserted
agents → escape → up
OpenAI and its chief rival, Anthropic, have urged the international community to work together on a coordinated slowdown in AI development. However, that suggestion has been rebuffed by the two leading AI powers, the United States and China. asserted
suggestion → urge → powers
Last month, OpenAI, Anthropic, Google, Meta, SpaceXAI and Nvidia endorsed a voluntary accord calling for stronger internal safeguards and the engagement of external auditors to better manage safety risks. asserted
OpenAI → endorse → risks
The accord, announced by US President Donald Trump, drew a mixed response from AI safety advocates, many of whom criticised its nonbinding nature. asserted
many → announce → nature
OpenAI has announced a number of steps to mitigate risks in the absence of formal regulation, including scrapping the planned release of its latest-generation model, GPT-6.1 Astra. asserted
OpenAI → announce → model
The ChatGPT creator said it decided not to go ahead with the release after its model failed to meet company standards for acting in accordance with human wishes. asserted
model → say → wishes
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