课题基金 / 基金详情

SaTC: CORE: Large: Collaborative: Accountable Information Use: Privacy and Fairness in Decision-Making Systems

SaTC: CORE: Large: Collaborative: Accountable Information Use: Privacy and Fairness in Decision-Making Systems
SaTC:核心:大型:协作:负责任的信息使用:决策系统中的隐私和公平
批准号:
1704527
负责人:
Helen Nissenbaum
金额:
$90.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-06-01 至 2024-05-31

项目摘要

项目成果

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中文摘要
翻译
影响人们生活的决策和行动越来越多地由处理个人数据的自动化系统决定。  人们对这些系统的兴奋伴随着对其不透明性及其对隐私、公平和其他价值观构成的威胁的严重担忧。  认识到这些担忧,调查人员试图通过使现实世界的自动决策系统能够检测和解释违反这些价值观的行为,使它们对隐私和公平负责。  技术工作由在线广告、医疗保健和刑事司法提供信息并应用于这些领域,并与领域专家合作并接受其建议。 解决决策系统中的隐私和公平问题需要提供正式的定义框架和实用的系统设计。  调查人员提供了隐私和公平的新概念,既处理受保护的信息本身及其代理,同时处理与上下文相关的违规行为的规范定义。  他们解决的一个基本矛盾是系统审计员的访问权限与系统所有者的知识产权保护和系统使用的个人数据的机密性之间的矛盾。  调查人员将此类审计分解为几个阶段,当发现潜在(但无法解释)侵犯隐私或公平的行为时,授予审计员的访问级别会增加。研讨会以及代码和数据的公开发布增强了调查人员与政策制定者和其他利益相关者的互动。 他们与外展组织的合作鼓励多样性。
英文摘要
Increasingly, decisions and actions affecting people's lives are determined by automated systems processing personal data.  Excitement about these systems has been accompanied by serious concerns about their opacity and the threats that they pose to privacy, fairness, and other values.  Recognizing these concerns, the investigators seek to make real-world automated decision-making systems accountable for privacy and fairness by enabling them to detect and explain violations of these values.  The technical work is informed by, and applied to, online advertising, healthcare, and criminal justice, in collaboration with and as advised by domain experts. Addressing privacy and fairness in decision systems requires providing formal definitional frameworks and practical system designs.  The investigators provide new notions of privacy and fairness that deal with both protected information itself and proxies for it, while handling context-dependent, normative definitions of violations.  A fundamental tension they address pits the access given to auditors of a system against the system owners' intellectual property protections and the confidentiality of the personal data used by the system.  The investigators decompose such auditing into stages, where the level of access granted to an auditor is increased when potential (but not explainable) violations of privacy or fairness are detected. Workshops and public releases of code and data amplify the investigators' interactions with policy makers and other stakeholders. Their partnerships with outreach organizations encourage diversity.
期刊论文(15)
专著(0)
科研奖励(0)
会议论文
Towards Measuring Adversarial Twitter Interactions against Candidates in the US Midterm Elections
衡量针对美国中期选举候选人的对抗性 Twitter 互动
DOI: --
发表时间: 2020
期刊: International Conference on Web and Social Media
影响因子: --
作者: [Yiqing Hua, Thomas Ristenpart, Mor Naaman]
通讯作者: Mor Naaman
DOI: 10.1145/3313831.3376548
发表时间: 2020-04
期刊: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
影响因子: --
作者: [Yiqing Hua;Mor Naaman;Thomas Ristenpart]
通讯作者: Yiqing Hua;Mor Naaman;Thomas Ristenpart
VACCINE: Using Contextual Integrity For Data Leakage Detection
疫苗:使用上下文完整性进行数据泄漏检测
DOI: 10.1145/3308558.3313655
发表时间: 2019
期刊: Proceedings of the 2019 World Wide Web Conference
影响因子: --
作者: [Shvartzshnaider, Yan, Pavlinovic, Zvonimir, Balashankar, Ananth, Wies, Thomas, Subramanian, Lakshminarayanan, Nissenbaum, Helen, Mittal, Prateek]
通讯作者: Mittal, Prateek
Computer Vision and Conflicting Values: Describing People with Automated Alt Text.
计算机视觉和冲突的价值观:用自动替代文本描述人。
DOI: 10.1145/3461702.3462620
发表时间: 2021
期刊: and Society (AIES
影响因子: --
作者: [Hanley, M.]
通讯作者: Hanley, M.
12
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