Generative Artificial Intelligence: Research on the Risk of Science and Technology Ethics, Regulatory Mechanism and Governance Strategy

Digital information technologies represented by General Artificial Intelligence (GAI) are becoming the core driving force behind profound transformations in the digital judicial field. GAI may trigger ethical risks across cognitive, subject, knowledge, and data dimensions, including dissemination of biases and discrimination, privacy breaches, fabrication of false information, manipulation of cognition, and even research ethics violations. The root causes of technological ethics issues stem from insufficient stakeholder accountability, imbalance between instrumental and value rationality, self-limitation of digital judicial technologies, and inadequate AI regulatory mechanisms. It is essential to follow practical mechanisms involving technology mediation, digital benevolence, legal supervision, and ethical standard formulation. This approach aims to enhance GAIs role in reinforcing the value concept of "promoting human welfare," improving ethical governance, increasing technical explainability, strengthening corporate self-discipline, and establishing global collaborative mechanisms for comprehensive risk management. GAI undergoes rapid innovation iterations, it continues to empower human society across multiple domains: serving as an essential driving force for innovation and efficiency enhancement in the digital age, while simultaneously raising public ethical concerns due to its inherent uncertainties, risks, and complex disruptive social impacts. Assessing and addressing GAIs ethical risks proves crucial for protecting individual rights, upholding fairness and justice, and promoting social harmony. Therefore, we should approach GAI technological progress with a cautious yet forward-looking ethical perspective, ensuring that GAI truly creates benefits for humanity.