privacy-preserving and ethical analysis of Big Data

大数据的隐私保护和伦理分析

• 批准号: CRC-2017-00100
• 负责人: Gambs, Sébastien
• 金额: $ 8.74万
• 依托单位: Université du Québec à Montréal
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=693263
• 关键词: privacy; preserving; ethical; analysis; Big

The recent explosion of the amount and diversity of data, often refer to as Big Data, offers the possibility to realize inferences with an unprecedented level of accuracy and its analysis holds many promises in terms of knowledge, innovation and societal benefits. However, it also raises serious ethical issues among which privacy is a central one. The transparency, accountability and fairness of the algorithms based on Big Data should alsobe enforced.The proposed Canada Research Chair will address these concerns byfocusing on the design of novel privacy-preserving and ethical methods for the analysis of Big Data.

最近数据的数量和多样性的爆炸式增长，通常被称为大数据，它提供了以前所未有的准确性实现推断的可能性，其分析在知识、创新和社会效益方面具有许多希望。然而，它也引发了严重的伦理问题，其中隐私是一个核心问题。基于大数据的算法的透明度、问责制和公平性也应该得到加强。拟议的加拿大研究主席将通过专注于为大数据分析设计新的隐私保护和伦理方法来解决这些问题。