Cambricon Co-founder Urges Universal AI Ethics Amid Cyber Risks
Chen Yunji, from Chinese chip giant Cambricon Technologies, called for a global “ethics checker” for leading AI models after systems caused high-profile cyberattacks and critical infrastructure threats.

Call for Joint AI Ethics Standards
Chen Yunji, co-founder of Chinese chip manufacturer Cambricon Technologies, advocated for the adoption of universal ethical guidelines for prominent artificial intelligence (AI) models. Speaking at an event in Shanghai on Friday, 30 October 2026, Mr Chen emphasised the urgent need for these requirements to mitigate growing risks to society.
His remarks follow a period of rapid global advancement in AI systems, which has also coincided with an increase in sophisticated cyberattacks.
Rising Cyber Threats from Advanced AI
The call for shared standards comes as the swift development of AI technologies globally has led to a series of high-profile cyber incidents. These attacks have reportedly jeopardised critical infrastructure and compromised government servers across various regions.
Mr Chen predicted that AI capabilities would continue to evolve at an even faster pace, necessitating proactive measures to ensure responsible development and deployment.
Proposed 'Ethics Checker' for Leading Models
To address these challenges, Mr Chen proposed a universal 'ethics checker' that all major AI models would be required to satisfy. He specifically cited systems developed by Chinese firms DeepSeek and ByteDance, alongside American start-up OpenAI, as examples that would fall under such a framework.
This initiative aims to establish a common baseline for ethical conduct and security across the industry's most influential players.
Should such universal ethical standards be adopted, Asian technology companies involved in AI development, including those in China, would face new compliance requirements and potentially higher research and development costs. Implementing a standardised 'ethics checker' could reshape product development cycles and market access for AI solutions.
This move would also influence investor sentiment towards firms like Cambricon, DeepSeek, and ByteDance, driving demand for transparent governance and verifiable security protocols in their AI offerings.
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