🚨 BREAKING: China recently released its AI Safety Governance Framework 3.0, and it's a MUST-READ amid the recent rise in AI safety incidents.
Published in both Chinese and English, the framework addresses new trends in AI development and responds to new challenges in AI safety governance.
Version 3.0 of the Framework follows the core approach of risk classification > technical response > comprehensive governance and is based on the following principles:
- Be inclusive and prudent to ensure safety
- Risk-oriented and agile governance
- Integrating technology and management for coordinated response
- Promoting openness and cooperation for joint governance and shared benefits
- Ensuring trustworthy application and preventing loss of control
Below are some of the recommended governance measures described in Framework 3.0 to address AI safety risks:
- Improving top-level design of AI safety governance
- Enhancing AI safety governance capacity
- Establishing a flexible, dynamic, and controllable AI regulatory sandbox mechanism
- Strengthening measures for AI safety management
- Deepening consensus on AI safety governance
Most companies are unprepared for the rising number of AI safety incidents, which are expected to get worse in the coming months and years.
This is the time to review, update, and strengthen internal AI governance policies, risk assessments, and response mechanisms, especially those focused on safety.
This is one of the most up-to-date and comprehensive frameworks on the topic, as it considers emerging AI risks, addresses governance and response mechanisms comprehensively, and also includes an agentic AI risk management framework (do not miss Appendix 2).
Read alongside other developments, version 3.0 of this framework signals that China wants to position itself as a global leader in AI safety (a strategic position the U.S. is also interested in holding).
I will keep you posted.
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