Governance for Big Data - January 2019

PI(s), Co-PI(s), Researchers: Deirdre Mulligan (U.C. Berkeley)

HARD PROBLEM(S) ADDRESSED
Human Behavior, Policy-Governed Secure Collaboration

PUBLICATIONS

KEY HIGHLIGHTS

We have continued exploring the literature on privacy governance methods and technologies, and have undertaken to understand comparative approaches currently pursued by NIST (the Privacy Framework), the NTIA (an open RfC on Developing the Administration's Approach to Consumer Privacy), and the consulting firm Nymity (the Privacy Management Accountability Framework), including by attending the kickoff workshop for the NIST effort. We have also conducted a preliminary analysis of risks that privacy enhancing technologies provide privacy in name only, examining the extent to which deployments of differential privacy by industry actors in fact protect the privacy of individuals' data, producing a public position paper on the topic. We have also begun a related exploration of provable privacy protection technologies, examining them from as representations which reduce the dimensionality of the input data to limit inference capacity.

Progress has been delayed due to issues with contracting. However, this appears to be resolved as of this month.

COMMUNITY ENGAGEMENTS

We are planning workshops for stakeholders, which we expect to conduct over the coming year.

EDUCATIONAL ADVANCES: