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人工智能时代算法审计的研究态势、运行机制和实践策略 被引量:1

The Research Trend,Operational Mechanism,and Practical Strategy of Algorithm Auditing in the Era of Artificial Intelligence
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摘要 近年来,人工智能算法在推动数字经济发展的同时引发了诸多社会问题。算法审计作为一种新型审计范式,对于规制算法风险、监管算法应用、促进算法治理起到了重要作用。目前我国算法审计规制体系缺乏科学标准的流程规范和具体可行的运行机制,我国亟须一套相对成熟的算法审计机制以对算法审计实践进行指导。文章首先分析了人工智能时代算法审计的研究态势;其次,基于算法主体、算法数据、算法程序、算法后果四个方面构建人工智能时代算法审计的运行框架;再次,从审计规范与制度、审计人才团队、算法审计原则等视角探索开展算法审计活动的实践策略。有关思路和结论旨在推动算法审计实践的有效开展,且为算法审计的理论研究提供参考和借鉴。 In recent years,artificial intelligence algorithms have caused many social problems while promoting the development of the digital economy.Algorithm auditing,as a new auditing paradigm,plays an important role in regulating algorithmic risks,regulating algorithmic applications,and promoting algorithmic governance.At present,China’s algorithmic audit regulatory system lacks scientific standard process norms and specific feasible operating mechanisms.China urgently needs a relatively mature algorithmic audit mechanism to guide algorithmic audit practices.This article first analyzes the research trend of algorithm auditing in the era of artificial intelligence.Secondly,based on the four aspects of algorithm subjects,algorithm data,algorithm programs,and algorithm consequences,a framework for the operation of algorithm auditing in the era of artificial intelligence is constructed.Thirdly,practical strategies for conducting algorithm auditing activities are explored from the perspectives of audit norms and systems,audit talent teams,and algorithm auditing principles.The relevant ideas and conclusions aim to promote the effective implementation of algorithmic auditing practices and provide reference and inspiration for theoretical research on algorithmic auditing.
作者 刘国城 杨丽丽 Liu Guocheng;Yang Lili
出处 《兰州学刊》 CSSCI 2024年第12期77-90,共14页
基金 江苏省社科应用研究精品工程财经发展专项课题“数智环境下算法审计体系构建研究” 江苏高校“青蓝工程”中青年学术带头人资助项目 教育部人文社会科学研究规划基金项目“大数据驱动下企业人力资源数字化管理平台构建研究”(项目编号:23YJA630116)。
关键词 人工智能 算法审计 算法治理 算法问责 算法审计伦理 artificial intelligence algorithm auditing algorithm governance algorithm accountability ethics in algorithmic auditing
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