Generative artificial intelligence policies: information governance

Purpose Generative artificial intelligence (GAI) has disrupted the information ecosystem due to its capacity to produce large language models. Defining clear regulatory strategies for GAI policies is crucial to achieving the objective of information governance in the digital and intelligent era. Furthermore, this is the appropriate role for the country in promoting the governance of cyberspace. Design/methodology/approach By dissecting the information governance dilemma triggered by GAI content, this paper employs the PMC index model and combines it with the MatLab tool to quantitatively evaluate and analyze the texts of seven GAI policies around the world. Findings After analyzing overall policy evaluation results, we identified one perfect, three excellent, and three good policy types. The study revealed good policy consistency but issues like unclear industry service types in legislation, limited credible application functions, and rigid technical safeguard scopes. Hence, this paper analyzes four governance dimensions: technology optimization, risk assessment, application deployment, and international policy convergence. It emphasizes testing through regulatory sandboxes, multimodal analysis, etc., for secure and compliant GAI technology development, and promotes global AI governance through transnational cooperation. Then, it constructs a governance framework integrating intelligent services, trustworthy applications, and technological security, using a strategy of synergizing soft and hard law and agile governance. Finally, suggestions for optimizing GAI policies in information governance are proposed. Originality/value This article innovatively analyzes global GAI policies theoretically and practically, starting with quantitative evaluation and optimization focused on information governance. It evaluates GAI policies across countries and organizations, proposes a rationalized optimization framework, and suggests strategies for developing information governance-oriented policies. This approach provides insights for effective GAI policy governance in the digital and intelligent age.