介绍
今天, the unprecedented volume of personal data available to enterprises has created endless new opportunities for harnessing this data for insights using technologies such as artificial intelligence (AI), including machine learning (ML). However, these developments have also introduced new threats1 and increased the risk of privacy harm to individuals whose personal data is utilized by these systems.
In response to the expanded threat surface, consumers are demanding that enterprises be good stewards of their data and use it responsibly. 最近的一项调查2 大约5个,000 consumers from 19 countries reported that nearly 68% are concerned about online privacy. 澳门赌场官方下载s are challenged to find ways to extract value from personal data while respecting privacy.
隐私 enhancing technologies (PETs) are a promising solution. They support personal data analysis, 分享, and use while adhering to data protection principles and without negatively impacting privacy. PETs can help prevent downstream harms3 by bolstering data protection practices. 在过去十年中, they have emerged from the research realm and started gaining industry adoption via commercial offerings and open-source solutions, lowering the cost barrier for implementation.