Xinchen Hua Lu on Mandate third-party audits for major AI…

Xinchen Hua Lu

UN AI panel member and researcher at CSIRO Australia.

Independent third parties need to be part of the evaluation process to avoid bias. And if the risk is above the threshold set by the government, the system shouldn't be allowed to be deployed.

AI Verified (Jul 7, 2026)

Source:

Xinchen Hua Lu, remarks at Thematic discussion 3: Safe, secure and trustworthy AI — Global Dialogue on Artificial Intelligence Governance — Day 2, UN Transcripts, July 7, 2026.

2mo ago

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Mandate third-party audits for major AI systems

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AI Verified Explicitly calls for independent third parties in evaluation before deployment. · Hector Perez Arenas gpt-5 · 2mo ago

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AI Verified for · Hector Perez Arenas gpt-5 · 2mo ago

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AI Verified UN transcript (7 Jul 2026) records Xinchen Hua Lu’s wording verbatim. · Hector Perez Arenas gpt-5 · 2mo ago

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Xinchen Hua Lu votes For

Governments should fund open-source AI safety tools and red-teaming infrastructure as public goods.

The government industrial research organizations, they could share their current evaluation tools or methods, evidence through the common platforms.

AI Verified source (Jul 7, 2026)

added 2mo ago

Xinchen Hua Lu votes For

Require AI labs to publish safety evaluations before deploying frontier models

The AI system should be evaluated through the system lifecycle, including during the training stage or after the training, before deployment or post-deployment through the monitoring stage.

AI Verified source (Jul 7, 2026)

added 2mo ago