Information Transparency for Privacy through Trust

通过信任实现信息透明度和隐私

• 批准号: RGPIN-2018-05897
• 负责人: Marsh, Stephen
• 金额: $ 1.68万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=746429
• 关键词: Information; Transparency; Privacy; through; Trust

Our personal information is continually shared amongst personal devices, 'things' in the Internet of Things (IoT), online social media and other websites, and more. Whilst sometimes seemingly innocuous, it is potentially linkable and can be mined to build quite accurate pictures of us. Tools, such as Privacy Enhancing Technologies, are available to help us better manage this, and other tools, Transparency Enhancing Technologies, help in both legal and practical settings to enhance our awareness of where our information is and how it is potentially used and shared. However, Many of these tools are difficult to use or understand, and the result is a lack of needed awareness, and a lack of use. We are examining how to use human social concepts, such as trust, regret, comfort and wisdom, to enhance these technologies and aid in understanding and increased awareness and use. This will result in active, socially enhanced Transparency Technologies that are contextually aware and human oriented. We are further engaged in practical applications of these social norms in the development of autonomous agents that embed the notion of active Transparency and Privacy, to enable information to travel between systems yet remain protected and aware of their context, and the requirements of their owners (us) in how they share themselves.This work will advance the current state of the art in privacy technologies, in particular in (1) the human awareness of privacy and the implications of information flow in young and emerging technologies such as IoT and ubiquitous computing, and established but growing technologies such as mobile and ultra-personal computing, and (2) the technological awareness of privacy and information flow in these systems. In the former, the benefit to Canada and Canadians is clear: privacy awareness is a public social good, and an aware community is a strong, enabled community. In the case of the former, the benefits are more diffuse: privacy aware artificial systems can hep enforce standards of information flow, incorporating strong protective behaviours for how to share and process information, and result in a more resilient information society comprised of people and technology.The work will fund the training of HQP (2 PhD, 2 Masters) who will enter the workforce as privacy and information use and soft security experts. The combination of technical and social understanding will serve them well in their chosen career path.

我们的个人信息不断在个人设备、物联网 (IoT) 中的“事物”、在线社交媒体和其他网站等之间共享。虽然有时看似无害，但它具有潜在的可链接性，并且可以被挖掘来构建我们的相当准确的图片。隐私增强技术等工具可以帮助我们更好地管理这一点，透明度增强技术等其他工具可以在法律和实际环境中帮助我们提高对信息所在位置以及信息可能如何使用和共享的认识。然而，这些工具中的许多工具很难使用或理解，结果是缺乏必要的认识和使用。我们正在研究如何利用人类社会概念，例如信任、遗憾、舒适和智慧，来增强这些技术并帮助理解和提高认识和使用。这将带来积极的、社会增强的、具有情境意识和以人为本的透明度技术。我们进一步致力于这些社会规范在开发自治代理中的实际应用，这些自治代理嵌入了主动透明度和隐私的概念，使信息能够在系统之间传输，同时仍然受到保护并了解其上下文，以及其所有者（我们）在如何分享自己方面的要求。这项工作将推进隐私技术的当前最新水平，特别是在（1）人类的隐私意识以及信息流对年轻人和新兴群体的影响方面。 物联网和普适计算等技术，以及移动和超个人计算等成熟但不断发展的技术，以及（2）这些系统中隐私和信息流的技术意识。前者对加拿大和加拿大人的好处是显而易见的：隐私意识是一项公共社会福利，而一个有意识的社区是一个强大的、有能力的社区。就前者而言，好处更为分散：具有隐私意识的人工系统可以帮助执行信息流标准，在如何共享和处理信息方面纳入强有力的保护行为，并形成一个由人员和技术组成的更具弹性的信息社会。这项工作将资助 HQP（2 名博士、2 名硕士）的培训，他们将作为隐私和信息使用以及软安全专家进入劳动力市场。技术和社会理解的结合将为他们选择的职业道路提供良好的服务。