Privacy

Related Faculty

Daniel Aranki

Assistant Professor of Practice

Predictive medicine; artificial intelligence; machine learning; tele-health; information disclosure; privacy; security.

John Chuang

Professor

Biosensory computing; climate informatics; information economics and policy

Chris Jay Hoofnagle

Professor of Practice

Internet law, information privacy, consumer protection, cybersecurity, computer crime, regulation of technology, edtech

Deirdre Mulligan

Professor

privacy, fairness, human rights, cybersecurity, technology and governance, values in design

Recent Publications

Mind-Reading and Telepathy for Beginners and Intermediates: What People Think Machines Can Know About the Mind, and Why Their Beliefs Matter

Dec 15, 2018

What can machines know about the mind? This dissertation seeks to understand people’s beliefs about this question: how these beliefs affect and arise from interactions with digital sensors, from prior beliefs about the mind and the body; and how these beliefs may shape the design of technical systems in the future.

The purpose of this dissertation is twofold. First, it surfaces that the boundary between sensing bodies and sensing minds is unstable, deeply entangled with social context and beliefs about the body and mind. Second, it proposes the porousness of this boundary as a site for studying the role that biosensing devices will play in near future. As biosensors creep into smart watches, bands, and ingestibles, their ability to divine not just what these bodies do, but what they think and feel, presents an under-explored avenue for understanding and imagining how thesetechnologies will come to matter in the course of life.

Epsilon Voting: Mechanism Design for Parameter Selection in Differential Privacy

Oct 29, 2018

An Interface without A User: An Exploratory Design Study of Online Privacy Policies and Digital Legalese

Jun 12, 2018

Privacy, Disclosure, and Social Exchange Theory

May 11, 2018

Context, Causality, and Information Flow: Implications for Privacy Engineering, Security, and Data Economics

May 8, 2018

The creators of technical infrastructure are under social and legal pressure to comply with expectations that can be difficult to translate into computational and business logics. This dissertation bridges this gap through three projects that focus on privacy engineering, information security, and data economics, respectively. These projects culminate in a new formal method for evaluating the strategic and tactical value of data: data games. This method relies on a core theoretical contribution building on the work of Shannon, Dretske, Pearl, Koller, and Nissenbaum: a definition of situated information flow as causal flow in the context of other causal relations and strategic choices.

Eliciting Values Reflections by Engaging Privacy Futures Using Design Workbooks

Nov 30, 2017

Real-Fictional Entanglements: Using Science Fiction and Design Fiction to Interrogate Sensing Technologies

Jun 10, 2017

The new world of data: Four provocations on the Internet of Things

Feb 6, 2017

These Aren't the Autonomous Drones You're Looking for: Investigating Privacy Concerns Through Concept Videos

Dec 5, 2016

Privacy is an essentially contested concept: a multi-dimensional analytic for mapping privacy

Nov 14, 2016

Privacy news

Opinion: Facebook’s Plan for End-to-End Encryption Sacrifices a Lot of Security for Just a Little Bit of Privacy

Jun 16, 2019

Hany Farid authors op-ed on the safety concerns of a new Facebook privacy measure.

Jen King on Apple’s New Mobile Privacy Protections

Apr 26, 2021

Alumna Jennifer King’s Dissertation Honored by iSchools Organization

Jan 30, 2019

School of Information alumna Jennifer King was honored by the iSchools organization for her doctoral dissertation, “Privacy, Disclosure, and Social Exchange Theory.”

I School Team Reimagines “Privacy by Design,” and Wins Best Paper Award

Dec 6, 2018

Instead of looking for design solutions to fix existing problems in privacy, I School researchers used speculative design fictions to explore the potential privacy issues that may arise in future uses and adoptions of emerging biosensing technologies.