Information Transparency for Privacy through Trust

我们的个人信息在个人设备、物联网（IoT）中的“事物”、在线社交媒体和其他网站等之间不断共享。虽然有时看起来无害，但它具有潜在的链接性，可以被挖掘出来，构建出相当准确的我们的照片。诸如隐私增强技术之类的工具可以帮助我们更好地管理这些信息，而其他诸如透明度增强技术之类的工具可以在法律和实际环境中帮助我们增强对信息位置及其可能被使用和共享方式的认识。然而，这些工具中的许多都难以使用或理解，其结果是缺乏必要的意识和使用。我们正在研究如何利用人类的社会概念，如信任、后悔、舒适和智慧，来增强这些技术，帮助人们理解、提高认识和使用。这将导致积极的、社会增强的透明技术，这些技术具有上下文意识和以人为本。我们进一步致力于这些社会规范在自主代理开发中的实际应用，这些自主代理嵌入了主动透明度和隐私的概念，使信息在系统之间传播，同时保持保护和意识到它们的上下文，以及它们的所有者（我们）对如何共享自己的要求。

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.