人工智能时代的数据隐私、垄断与公平

孟小峰; 王雷霞; 刘俊旭

doi:10.11959/j.issn.2096-0271.2020004

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人工智能时代的数据隐私、垄断与公平

专题：大数据隐私保护 | 更新时间：2024-06-03

- 人工智能时代的数据隐私、垄断与公平
- Data privacy,monopoly and fairness for AI
- 大数据 2020年6卷第1期页码：2020004-1
- 作者机构：
- 作者简介：
  
  [ "孟小峰（1964- ），男，博士，中国人民大学信息学院教授，博士生导师，中国计算机学会会士，主要研究方向为数据库理论与系统、大数据管理系统、大数据隐私保护、大数据融合与智能、大数据实时分析、社会计算等" ]
  [ "王雷霞（1994- ），女，中国人民大学信息学院博士生，主要研究方向为隐私保护" ]
  [ "刘俊旭（1995- ），女，中国人民大学信息学院博士生，主要研究方向为隐私保护" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(91646203);国家自然科学基金资助项目;The National Natural Science Foundation of China(61532010);国家自然科学基金资助项目;The National Natural Science Foundation of China(91846204);国家自然科学基金资助项目;The National Netural Science Foundation of China(61532016);国家自然科学基金资助项目;The National Natural Science Foundation of China(61762082)
- DOI：10.11959/j.issn.2096-0271.2020004
  中图分类号： TP309
- 网络首发：2020-01，
  
  纸质出版：2020-01-15
- 稿件说明：
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孟小峰, 王雷霞, 刘俊旭. 人工智能时代的数据隐私、垄断与公平[J]. 大数据, 2020,6(1):2020004-1.

Xiaofeng MENG, Leixia WANG, Junxu LIU. Data privacy,monopoly and fairness for AI[J]. Big Data Research, 2020, 6(1): 2020004-1.
孟小峰, 王雷霞, 刘俊旭. 人工智能时代的数据隐私、垄断与公平[J]. 大数据, 2020,6(1):2020004-1. DOI： 10.11959/j.issn.2096-0271.2020004.

Xiaofeng MENG, Leixia WANG, Junxu LIU. Data privacy,monopoly and fairness for AI[J]. Big Data Research, 2020, 6(1): 2020004-1. DOI： 10.11959/j.issn.2096-0271.2020004.

摘要

随着人工智能时代的到来，大数据中蕴含的价值被不断开发，但与此同时，用户的隐私泄露问题、数据垄断问题以及算法决策中的公平问题愈发凸显。为详细探究此类伦理问题，首先从数据发展的角度出发，探讨人工智能时代隐私、垄断与公平问题的产生环境及其独特性。而后，对这3个伦理问题逐一分析其现状及挑战，得出当前伦理问题产生的本质是数据获取、使用以及决策的不透明性，提出建立数据透明机制是解决这些问题的重要举措。

Abstract

With the coming of the era of artificial intelligence

the value contained in big data has been deeply mined.But at the same time

the privacy and data monopoly issues of users’ sensitive data

and fairness in algorithmic decisions have become increasingly serious.In order to explore such problems

firstly

the development of data was researched

which reflects the unique producing environment of data ethics in the era of artificial intelligence

and the unique properties of these ethical issues were discussed.Then

the data monopoly

privacy disclosure and unfair decision-making were discussed one by one

whose development status and challenges were analyzed.It is concluded that the essence of current ethical issues is the non-transparency of data collection

data usage and algorithm decision

so that establishing the data transparency mechanism should be an important measure to solve these problems.

关键词

Keywords

references

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