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A Right to Reasonable Inferences : Re-Thinking Data Protection Law in the Age of Big Data and AI
2018
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详细记录
Title
A Right to Reasonable Inferences : Re-Thinking Data Protection Law in the Age of Big Data and AI
项目类型
Journal article
描述
130 pages
摘要
This Article argues that a new data protection right, the ‘right to reasonable inferences’, is needed to help close the accountability gap currently posed by ‘high risk inferences’ , meaning inferences drawn from Big Data analytics that damage privacy or reputation, or have low verifiability in the sense of being predictive or opinion-based while being used in important decisions. This right would require ex-ante justification to be given by the data controller to establish whether an inference is reasonable. This disclosure would address (1) why certain data form a normatively acceptable basis from which to draw inferences; (2) why these inferences are relevant and normatively acceptable for the chosen processing purpose or type of automated decision; and (3) whether the data and methods used to draw the inferences are accurate and statistically reliable. The ex-ante justification is bolstered by an additional ex-post mechanism enabling unreasonable inferences to be challenged.
Supplement Note
Published in : Columbia Business Law Review, 2019(2)
连续资源
Published
[New York City, New York] : Columbia Business Law Review, 2018.
语言
eng
记录出处