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CT-T: Transparent Accountable Datamining Initiative (TAMI)

CT-T: Transparent Accountable Datamining Initiative (TAMI)
CT-T:透明、负责任的数据挖掘计划 (TAMI)
批准号:
0524481
负责人:
Daniel Weitzner
金额:
$0.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-09-01 至 2009-08-31

项目摘要

项目成果

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中文摘要
翻译
透明责任数据挖掘倡议(TAMI)项目正在为跨异构信息系统的大规模聚合和推理的透明度和责任性创建技术、法律的和政策基础。将透明度和问责制纳入网络等去中心化系统,对于帮助社会管理通信、存储和搜索技术爆炸性发展所带来的隐私风险至关重要。政府在执法和国家安全方面扩大使用大规模数据挖掘,为这项工作提供了令人信服的动力。虽然其他关于数据挖掘对隐私影响的调查集中在限制数据访问以保护隐私,但各种社会,政治和技术因素使得限制收集和访问个人信息变得越来越困难。该项目旨在通过创建方法和技术来增加推理和汇总过程本身的透明度和问责制,从而解决隐私保护风险和从多个来源的数据汇总中得出的结论的可靠性。该项目正在开发能够表达政策约束的精确规则语言和能够描述其产生的结果的推理引擎。由美国政府和其他组织的公共政策官员组成的公共政策咨询理事会将定期开会,评估研究的影响,并影响其方向,使其与用户的需求相关。研究成果包括出版物,技术报告,演示和软件组件将在项目网站[http://dig.csail.mit.edu/TAMI]上提供。沿着技术发展,该项目正在调查研究的公共政策影响。该项目的成果正在纳入麻省理工学院的两门本科课程,并在麻省理工学院的开放式课程系统上提供[http://ocw.mit.edu/index.html]。通过参与万维网联盟(W3C)[http://www.w3.org/],该小组处于独特的地位,可以帮助向工业界传播在该项目下开展的工作。
英文摘要
The Transparent Accountable datamining Initiative (TAMI) Project is creating technical, legal, and policy foundations for transparency and accountability in large-scale aggregation and inferencing across heterogeneous information systems. The incorporation of transparency and accountability into decentralized systems such as the Web is critical to help society manage the privacy risks arising from the explosive progress in communications, storage, and search technology. The expansion of government use of large-scale data mining for law enforcement and national security provides a compelling motivation for this work. While other investigations of the impact of data mining on privacy focus on limiting access to data as a means of protecting privacy, a variety of social, political, and technical factors are making it increasingly difficult to limit collection of and access to personal information. This Project is addressing the risks to privacy protection and the reliability of conclusions drawn from increasing ease of data aggregation from multiple sources by creating methods and technologies for adding increased transparency and accountability of the inferencing and aggregation process itself. The project is developing precise rule languages that are able to express policy constraints and reasoning engines that are able to describe the results they produce.Public Policy Advisory Council composed of public policy officials from US Government and other organizations will meet periodically to evaluate the implications of the research and to influence its direction to be relevant to the needs of users.Research results including publications, technical reports, demos, and software components will be available on the Project website [http://dig.csail.mit.edu/TAMI].Along with technology development, the Project is investigating public policy implications of the research. The results of the Project are being incorporated into two undergraduate courses at MIT and are being made available on MIT's Open CourseWare System [http://ocw.mit.edu/index.html]. Through the involvement with the World Wide Web Consortium (W3C) [http://www.w3.org/] the team is in a unique position to help disseminate the work developed under this project to the industrial community.
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