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

Situating Web Searching in Data Engineering: Admissions, Extensions, Repairs, and Ownership

Dec 16, 2022

Leveraging Differential Privacy While Attending to Social and Political Commitments

Dec 15, 2021

Enacting Privacy in Internet Standards

Dec 18, 2020

teaser image of book cover - O'Reilly Media - 97 Things About Ethics Everyone in Data Science Should Know

Securing Your Data From Breaches Will Help Us Improve Healthcare

Aug 2, 2020

When you go to a new healthcare clinic in the United States, doctors and nurses pull up your patient record based on your name and birthdate. Sometimes it’s not your chart they pull up. This is not only a healthcare problem; it’s a data science problem.

Values by Design Imaginaries: Exploring Values Work in UX Practice

Jul 30, 2020

Differential Privacy in Practice: Expose your Epsilons!

Oct 23, 2019

Privacy and Policy in Polystores: A Data Management Research Agenda

Oct 23, 2019

Information-intensive innovation: the changing role of the private firm in the research ecosystem through the study of biosensed data

Aug 16, 2019

Bringing Design to the Privacy Table: Broadening “Design” in “Privacy by Design” Through the Lens of HCI

May 8, 2019

This paper reviews HCI research on privacy and design to discuss how utilizing a broader range of design methods from HCI can help support “privacy by design” efforts.

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.

Privacy news

Andrew Reddie on “Integrating the Art and Science of Wargaming”

Mar 16, 2023

Policymakers face an incredibly difficult challenge to craft policy in the face of increasingly complex national and international security challenges. In serving them, wargamers can and should do better.

Prof. Deirdre Mulligan smiles in front of a window in her office in Washington DC

UC Berkeley I School Professor Joins White House As Deputy Chief Technology Officer for Policy

Feb 27, 2023

Professor Deirdre K. Mulligan has been tapped to join the White House’s Office of Science and Technology Policy (OSTP) as Deputy U.S. Chief Technology Officer for Policy.