Enslaving the Algorithm: From a "Right to an Explanation" to a "Right to Better Decisions"?

被引：93

作者：

Edwards, Lilian ^{[1
]}

Veale, Michael ^{[2
]}

机构：

[1] Univ Strathclyde, Egovernance, Glasgow, Lanark, Scotland

[2] UCL, Dept Sci Technol Engn & Publ Policy STEaPP, London, England

来源：

IEEE SECURITY & PRIVACY | 2018年 / 16卷 / 03期

基金：

英国工程与自然科学研究理事会; 英国艺术与人文研究理事会;

关键词：

algorithmic accountability; data protection; GDPR; machine learning; right to an explanation;

D O I：

10.1109/MSP.2018.2701152

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As concerns about discrimination in black box machine learning systems rise, a legal "right to an explanation" has emerged as an attractive approach for governance. Meaningful information about algorithmic logics is more technically possible than commonly thought, but this risks a new "transparency fallacy"-an illusion of remedy over a substantive provision.

引用

页码：46 / 54

页数：9

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