The Impact and Regulation of Generative Artificial Intelligence on Information Disclosure of Listed Companies

Abstract

With the development of new productive forces, generative artificial intelligence has completely overturned the traditional human-centered information production and processing model. While significantly improving production efficiency, it has also exacerbated information quality problems. This paper, through a literature review, analyzes the positive and negative impacts of generative artificial intelligence on listed companies' information disclosure and proposes corresponding optimization strategies. The study finds that generative artificial intelligence has a positive impact on listed companies' information disclosure. Specifically, in terms of financial information, generative artificial intelligence improves the efficiency and optimizes the quality of listed companies' information disclosure. In terms of non-financial information, generative artificial intelligence has great potential in enhancing listed companies' environmental information disclosure and real-time auditing. However, generative artificial intelligence also reduces the authenticity of listed companies' information disclosure, to some extent affecting stock market price fluctuations, weakening interaction and trust among market participants, and influencing investors' investment decisions in the capital market.