Research on Multi-layer Governance Mechanism for Algorithmic Risk in Intelligence Analysis under Generative Artificial Intelligence
With the emergence of generative artificial intelligence,the rapid advancement and application of algorithms have fundamentally transformed traditional models of intelligence analysis,establishing themselves as crucial tools for collecting and analyzing intelligence information.However,with the increasing application of algorithms in critical domains such as military intelligence,they have engendered a plethora of challenges and great security risks,thereby eliciting global apprehensions.This paper focuses on algorithmic risks in the context of intelligence analysis facilitated by generative artificial intelligence,systematically elucidating both internal and external factors that contribute to such risks.By seamlessly integrating theories on collaborative governance,agile governance,and precise governance into a cohesive framework,it establishes a multi-layered mechanism for governing algorithmic risk in intelligence analysis.This framework encompasses:Pre-event governance:source control over algorithmic risk in intelligence analysis;Mid-event governance:agile management of algorithmic risk in intelligence analysis;Post-event governance:precise handling of algorithmic risk in intelligence analysis.The objective is to provide guidance for effectively preventing and addressing algorithmic risks associated with intelligent analysis within the realm of generative artificial intelligence so that it may better serve national strategic requirements.
万方数据
维普
