Digital data donations: A quest for best practices

被引：7
|
作者：
Ohme, Jakob [1 ,2 ]
Araujo, Theo [2 ]
机构：
[1] Free Univ Berlin, Weizenbaum Inst Networked Soc, Berlin, Germany
[2] Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, Amsterdam, Netherlands
来源：
PATTERNS | 2022年 / 3卷 / 04期
关键词：
D O I：
10.1016/j.patter.2022.100467
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This preview article discusses PORT-a data donation software newly developed by Boeschoten et al.-toward the background of three core data donation principles: privacy protection, meaningful data extraction, and securing user agency.
引用
收藏
页数：2
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