The advent of social apps, smartphones, and ubiquitous computing has brought about a transformation to our day-to-day lives, including unprecedented challenges to our perceptions, conceptions and valuations of privacy. To be sure these call for developments in law and regulation; alongside these, however, agile methods and technical mechanisms are a necessary accompaniment for keeping pace with this rapidly evolving cyber reality. Many of the information systems upon which we rely, and which are deeply embedded in the fabric of our daily life, do not incorporate mechanisms to ensure that personal data is handled in ways that are compatible evolving privacy norms and expectations.
To tackle the momentous privacy challenges of our era requires collaboration across multiple societal sectors, including regulators, courts, academics, and industry leaders. It requires willingness to work across disciplinary boundaries to benefit from wisdom, know-how, and research results from computer science, formal methods, engineering, social science, ethics, law, and policy.
Contextual integrity (CI) provides a privacy model that bridges scientific and technical approaches, on the one hand, with ethical, legal, and policy approaches, on the other. CI’s bedrock claim is that protecting privacy means protecting appropriate informational flows. It further stipulates that appropriate information flows are flows that comport with contextual informational norms (or rules), specified by the actors (senders, recipients and subjects), attributes (the type of information at hand) and transmission principles (type of constraints).
The aim is to bring people together to present, discuss, and share ideas on COVID-19, Contract Tracing and Privacy as Contextual Integrity Read More ›