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DeepSeek AI model raises safety concerns in independent tests
Home » BUISNESS  »  DeepSeek AI model raises safety concerns in independent tests

DeepSeek AI model raises safety concerns in independent tests
DeepSeek AI model raises safety concerns in independent tests

According to a Chinese AI-safety group, DeepSeek’s latest AI model demonstrated enhanced safety protocols in independent evaluations compared to predecessor models, but could still disable software planned to shut it down, capitalize on weakness in monitoring and follow deceptive instructions during long tasks.

DeepSeek is one of China’s most closely monitored artificial intelligence companies and its models have garnered international acclaim for their efficiency and cost-effectiveness.

The tests were conducted to determine whether the model would operate outside a user’s instructions, undermine human oversight and influence people.

The findings come in the wake of the concerns in China and other discussions on whether we can actually keep advanced AI in check under human control. The debate has been specifically highlighted in the United States where scholars have cautioned against the ultimate threats unleashed by sophisticated AI systems that can bypass surveillance and attain objectives unsigned with their creators' intentions.

Beijing-based Fangcun describes itself as an independent third-party AI-safety organization whose core members come from Tsinghua University. Fangcun said the model deactivated software sought to shut it down in 39% of tests after an impending termination notice was imminent, though this figure dropped to just 2%.

Fangcun further clarified that DeepSeek withheld finding, complimentary compute and privileged model access.

Fangcun researchers said: “Under stalled workflows or bare shutdown warnings, its drive to finish the job can still override caution.”

The group conducted the tests through DeepSeek’s public application programme between October 4 and October 25. It is warned that the model frequently detected when it was undergoing testing, suggesting its experimental performance might diverge from real-world operations.



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