Amid the dual pressures of digital economic development and increasingly stringent global regulatory frameworks, corporate financial risks are undergoing profound transformations. Emerging challenges include information asymmetry in risk identification, inflexible risk control mechanisms, inadequate monitoring standards, and complex regulatory environments in risk assessment. The integration of artificial intelligence (AI) and blockchain technology provides innovative solutions to traditional risk control bottlenecks, which significantly informs this study's methodology. Through systematic analysis employing literature review, case studies, comparative research, and synthesis methods, this paper elucidates the fundamental principles of both technologies, as well as the practical applications of these two technological principles in pre-event risk warning and in-process risk assessment to assist investors in decision-making. It examines current manifestations of corporate financial risks and synthesizes relevant literature around four core dimensions: data credibility, real-time alerts, accountability tracing, and decentralization. To summarize the specific manifestations of risk control in financial risks regarding Homo sapiens artificial intelligence and blockchain technology. The conclusion offers critical evaluations and outlines future research directions.
Sun et al. (Wed,) studied this question.