生成式人工智能赋能情报工作的数据风险及治理研究OA

[Purpose/significance]Generative Artificial Intelligence(GAI)generates numerous data risks in the process of empowering intelligence work.Fully understanding,identifying,and governing the data risks are the key to the effective empowerment of intelligence work by GAI.[Method/process]Based on the four stages of intelligence work,this paper subdivides the main data activities in intelligence work empowered by generative artificial intelligence from the perspective of the data workflow.Based on risk management theory,the data risks in data input,data processing,data content generation and data content dissemination,are systematically analyzed and identified.From three perspectives of institution,subject,and technology,a data risk governance framework is proposed.[Result/conclusion]Institu-tional governance strategies,subject governance strategies,and technical governance strategies for data risks are proposed to effectively guide the practice of generative artificial intelligence empowerment.