Algorithmic bias and regulatory path in artificial intelligence legal services
人工智能法律服务中的算法偏见与规制路径

摘要

人工智能在法律服务领域前景佳、潜力大，应用AI的律所营收增长，凸显技术重要性。我国人工智能立法和监管框架渐完善，司法部门需出台内部规定防范风险，保障司法公正、数据安全与权威。人工智能存在算法偏见，数据利用要正当合法，保障隐私。隐私保护的算法歧视隐蔽复杂，现有法律界定与协调不足。司法领域算法偏见有身份歧视、数据偏差等，影响司法公平，治理需动态监管体系，但面临技术迭代等障碍。为此，提出加强数据安全、明确责任主体、加强动态监督，实现法律与技术协作，构建源头防线，确保数据合规，厂商与机构共同审查，转向平时监管，纳入系统，紧抓源头，构建体系。所以人工智能在法律服务中的应用、偏见与路径相互影响，发展需规则与技术共进，重视监督，减少算法问题，保障数据合法透明，法律与服务机构保障数据安全、提供公正服务。

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.