算法影响评估制度的实践路径分析

Practical solutions of algorithm impact assessment system

算法影响评估制度作为国内外算法治理的基础性制度,是当前阶段算法治理的主要方案,但在应用实施过程中仍存在评估对象泛化、评估方法透明性不足的问题,需进一步细化。聚焦分析算法影响评估制度在应用实施过程中应关注的评估对象、评估内容和评估方法,提出在实际评估过程中应根据初步风险对算法评估对象分类分级,加强对以机器学习为基础的复杂算法的评估,重点关注算法的应用环节,重点评估算法输入的数据与特征、输出的目标与结果、干预与保障措施以及个人权利响应。

As the basic system proposed in the first stage of algorithm governance,the algorithm impact assessment system is the main solution for algorithm governance at the current stage.However,during the application and implementation process,there are still problems of generalization of assessment objects and insufficient transparency of assessment methods,which need to be further elaborated.This article focuses on analyzing the objects,assessment content and assessment methods that should be assessed during the application and implementation of the adjustment impact assessment system.During the actual assessment process,it is proposed to initially classify and grade the adjustment assessment objects based on risks,and strengthen the use of machine learning-based algorithms.Evaluation focuses on the application stage of the algorithm,focusing on the input data and feature complexity of the algorithm,the output goals and results,intervention and safeguard measures,and individual rights responses.