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Introduction to special issue on computational methods for enforcing privacy and fairness in the knowledge society

机译：知识社会中保护隐私和公平的计算方法特刊简介

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摘要

We live in times of unprecedented opportunities for sensing, storing and analyzing micro-data on human activities at extreme detail and resolution, at a societal level. Wireless networks and mobile devices record the traces of our movements. Search engines record the logs of our queries for finding information on the web. Automated payment systems record the tracks of our purchases. Social networking services record our connections to friends, colleagues, and collaborators. Ultimately, these big data of human activity are at the heart of the very idea of a knowledge society: a society where decisions-small or big, by business or policy makers-can be taken on the basis of reliable knowledge, distilled from the ubiquitous digital traces generated as a side effect of our living. Increasingly sophisticated intelligent systems support knowledge discovery and deployment from human activity data, enabling the extraction and the (often automatic) use of models, patterns, profiles, and rules of human behavior. This paradigm shift towards the knowledge society comes, however, with critical risks for human rights: Privacy violation: during knowledge extraction, the risk is of unintentional or deliberate intrusion into the personal data of people whose data are being collected, analyzed and mined.
机译：我们生活在前所未有的机会中，可以在社会层面上以极其详尽的细节和分辨率来感测，存储和分析人类活动的微数据。无线网络和移动设备记录了我们运动的轨迹。搜索引擎会记录我们查询的日志，以便在网络上查找信息。自动付款系统记录了我们的购买轨迹。社交网络服务记录了我们与朋友，同事和合作者的联系。最终，这些人类活动的大数据是知识社会这一思想的核心：在这个社会中，无论是企业还是决策者，无论大小决定，都可以基于从无处不在的知识中提取出来数字痕迹是我们生活的副作用。越来越复杂的智能系统支持从人类活动数据中发现和部署知识，从而能够提取和（通常是自动）使用人类行为的模型，模式，配置文件和规则。但是，这种向知识社会的范式转变会带来严重的人权风险：侵犯隐私权：在知识提取过程中，这种风险是无意或故意侵入要收集，分析和挖掘其数据的人的个人数据。

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  • 来源
    《Artificial Intelligence and Law》 |2014年第2期|109-111|共3页
  • 作者

    Sergio Mascetti; Annarita Ricci; Salvatore Ruggieri;

  • 作者单位

    Department of Computer Science, University of Milan, Milan, Italy;

    Department of Computer Science, University of Milan, Milan, Italy;

    Department of Computer Science, University of Milan, Milan, Italy;

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