| Abstract |
Artificial intelligence has a promising future and great in the field of legal services, and the increase in revenue for law firms using AI highlights the importance of technology. China's AI legislation and regulatory framework are gradually improving, and judicial sector needs to issue internal regulations to prevent risks and ensure judicial fairness, data security, and authority. Artificial intelligence has algorithmic bias, and data utilization must be legitimate and legal protect privacy. Algorithmic discrimination in privacy protection is concealed and complex, and existing legal definitions and coordination are insufficient. Algorithmic bias in the judicial field includes identity discrimination and data, affecting judicial fairness, and governance requires a dynamic regulatory system, but it faces obstacles such as technology iteration. To this end, it is proposed to strengthen data security, clarify the entity, and strengthen dynamic supervision to achieve collaboration between law and technology, build a source defense line, ensure data compliance, and jointly review by manufacturers and institutions, turning to routine supervision incorporating into the system, focusing on the source, and building a system. Therefore, the application, bias, and path of artificial intelligence in legal services influence each other, and development to advance with rules and technology, pay attention to supervision, reduce algorithmic issues, and ensure legal and transparent data. Law and service institutions ensure data security and provide fair services.
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