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Exploring Model Safety Benchmarks and Origin Tracing in AI Governance
This chapter delves into the intricacies of establishing benchmarks for evaluating model safety, exploring challenges like varying evaluation standards, discrepancies in results, and the necessity of tracing the origins of large language models to prevent misuse. It also underscores the significance of international collaboration in setting AI safety standards and the proactive measures taken by companies like Alibaba to safeguard AI-generated content.