As generative AI expands, Chinese regulators are wrestling with how to curb the dangers posed by “open‑weight” models—large‑scale neural networks whose weights are publicly accessible. The South China Morning Post reports that policymakers are drafting guidelines that would make it harder for malicious actors to repurpose powerful models for disinformation, deepfakes, or autonomous weaponry, while still preserving the innovation benefits of open research. The core idea is to introduce a tiered control system: models deemed high‑risk would require government‑issued licenses before they can be released or shared, and developers would need to embed traceable watermarks or provenance metadata to verify origin and intent.

Industry leaders have voiced concerns that overly strict controls could stifle the rapid progress seen in China’s AI sector, which has become a global hub for both commercial and academic breakthroughs. To balance these pressures, the draft measures propose a “responsible openness” framework, allowing vetted researchers and enterprises to access advanced models under strict usage agreements, while broader public release would be limited to less capable versions. The government also plans to set up a central monitoring body to audit model deployments and coordinate with international partners on standards for AI safety.

The move reflects a growing consensus that the traditional black‑box approach to AI regulation is insufficient for models whose parameters can be copied and rerun anywhere. By focusing on weight‑level controls, China aims to close a loophole that has enabled the rapid diffusion of powerful generative tools worldwide. If implemented, these policies could reshape how AI research is shared across borders, prompting other nations to consider similar safeguards and potentially ushering in a new era of coordinated, risk‑aware AI governance.

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Fuente Original: South China Morning Post

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