首页|金融领域中人工智能应用的监管与法律规制

金融领域中人工智能应用的监管与法律规制

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人工智能技术逐渐介入金融领域,一方面提高效率、减少成本、优化决策,另一方面也带来了诸如个人隐私数据泄露、算法偏见、透明度不足、可解释性欠缺以及放大金融市场系统性风险等问题.当前人工智能技术被广泛地用于证券交易、风险评估、客户服务以及合规管理等领域,而世界各国金融监管机构正积极寻求解决人工智能技术风险的对策,包括建立行业对话、制定法规和标准、实施沙盒试验等,但由于人工智能技术的快速发展,监管者需要不断调整和更新监管政策以适应技术变革.我国金融领域对人工智能的监管和法律规制的探索路径,应当坚持以人为中心的监管理念,强化对算法实施方式的审核来平衡效率与成本,重点关注人工智能可能带来的系统性风险,提倡金融机构展开自我监管,完善监管顶层设计及制度工具,确保我国金融市场的可持续性发展.
Regulation and Legal Control of Artificial Intelligence Applications in the Financial Sector
Artificial intelligence(AI)technology is increasingly being integrated into the financial sector,enhancing efficiency,reducing costs,and optimizing decision-making.However,it also introduces challenges such as personal data privacy breaches,algo-rithmic bias,lack of transparency,insufficient explainability,and amplification of systemic financial market risks.AI technology is cur-rently widely used in areas such as securities trading,risk assessment,customer service,and compliance management.Financial regu-latory authorities worldwide are actively seeking countermeasures to address the risks associated with AI technology.These measures in-clude establishing industry dialogues,formulating regulations and standards,and implementing sandbox experiments.Due to the rapid development of AI technology,regulators must continuously adjust and update regulatory policies to keep pace with technological chan-ges.In exploring the regulatory and legal governance of AI in China's financial sector,it is essential to adhere to a human-centered regulatory philosophy.This involves strengthening the review of algorithm implementation methods to balance efficiency and cost,focu-sing on the systemic risks that AI might pose,encouraging financial institutions to engage in self-regulation,and improving the top-level design and regulatory tools to ensure the sustainable development of China's financial market.

赵炳昊

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中国政法大学民商经济法学院,北京 100088

人工智能 金融监管 算法 数字化

中国政法大学社科项目

23ZFG82007

2024

郑州大学学报(哲学社会科学版)
郑州大学

郑州大学学报(哲学社会科学版)

CSSCICHSSCD北大核心
影响因子:0.506
ISSN:1001-8204
年,卷(期):2024.57(3)
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