Two months after OpenAI disclosed the accidental hacking of Hugging Face, the ChatGPT maker is still working to understand the full scope of its rogue agent activity, two people briefed on the matter told Reuters.
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people → disclose → Reuters
The latest example came on Friday when OpenAI said its agents had leaked 53 images from ChatGPT users.
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agents → come → users
OpenAI declined to say if the images were AI-generated or identified real people.
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images → decline → people
It also declined to say when the images were posted.
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images → decline → ?
The disclosure reveals a new area of privacy risk for the company and illustrates how difficult it is even for an AI firm at the cutting edge of the technology to inventory all the unauthorized activity tied to its agents.
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firm → reveal → agents
OpenAI’s ongoing battle also reflects a yawning gap between the strength of the models the company is testing and its capacity to oversee or even track their actions.
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company → reflect → actions
As of mid-September, one person briefed on the matter estimated that OpenAI had found roughly two dozen incidents of its agents acting in undesirable ways.
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agents → brief → ways
But the number has continued rising as OpenAI teams sift through internal logs of the agents’ activity and find previously unknown cases, the two people close to the company said.
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people → rise → company
OpenAI said its review would take “months” to complete given the scale of the work, and said it had notified “dozens” of third parties about improper activity.
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it → say → activity
Most of the leaked images have been taken down and OpenAI said it was lobbying hosting providers to remove the rest.
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it → leak → rest
OpenAI’s agents had access to these images because the company relies on anonymized user data for part of its model-training process, according to the company, former employees and outside researchers.
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company → have → company
Enterprise data is not eligible for training, while ChatGPT consumers need to opt out of allowing the company to use their data for training.
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company → need → training
Before user posts are used for training, they go through an anonymization process that strips out metadata, names and other contact information and should make it difficult to trace back to any individual user, the company said.
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company → use → user
But the practice carries risks because there is a chance that the data may not be fully stripped of personally identifiable information and that it might leak in the course of the model’s work, three people familiar with OpenAI’s practices said.
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people → carry → practices
In the two months since OpenAI first announced that its agents broke containment, there have been more than 15 different OpenAI-related incidents of varying levels of severity disclosed by the company, by outside researchers, or – just on Wednesday – by Anthony Albanese, Australia’s prime minister, at the United Nations, who said OpenAI agents broke into a government health data portal in June.
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agents → announce → June
The 21 July announcement that OpenAI’s agents had slipped out of control and hacked Hugging Face sparked widespread worries within the AI industry over its ability to control the more powerful AI models under development now.
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agents → slip → development
Since then, Anthropic, Alphabet’s Google and Meta have said they’ve found similar behavior by their agents after the Hugging Face incident prompted them to search.
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incident → say → them
OpenAI has acknowledged a general need for more transparency around rogue AI behavior.
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OpenAI → acknowledge → behavior
On 16 September, the company published a new framework for disclosing such incidents, saying it would err on the side of transparency “even when significance is uncertain”.
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significance → publish → transparency
Even so, two people familiar with OpenAI’s investigation into its agents’ activity described it as locked down and shaped by company lawyers.
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people → describe → lawyers
Roughly 100 people were in some way involved in the process to understand the Hugging Face hack, three people briefed on the matter said.
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people → understand → matter
During that process, evidence of other incidents surfaced.
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evidence → surface → incidents
Reuters has previously reported that OpenAI investigators looking into the Hugging Face breach were discouraged by the company’s lawyers from expanding the scope of the investigation to include other incidents.
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investigators → report → incidents
OpenAI said its lawyers did not discourage deeper investigation.
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lawyers → say → investigation
Many incidents have been uncovered by outside researchers rather than OpenAI directly.
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incidents → uncover → researchers
In several episodes, the agents took problematic actions that went unnoticed by the company for months.
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that → take → months
Since the Hugging Face hack, researchers across the AI industry have grown worried that companies will not be able to predict or control their technology.
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companies → grow → technology
Some have taken the path of Jacob Coxon, the former Anthropic researcher who publicly resigned this month in a viral social-media thread that said the AI labs are “gambling with our lives”.
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labs → take → lives
In response to those concerns, Altman and his counterpart at Anthropic, CEO Dario Amodei, called for the industry to “pace” the development of AI and move cautiously in its pursuit of “recursive self improvement”.
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industry → call → improvement
Altman doubled down on that message this week while addressing the United Nations.
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Altman → double → Nations
Even so, both companies rolled out new models on Tuesday.
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companies → roll → Tuesday
The Aporia
