Maritza Johnson

Director, USD

Research Affliate, Good Research

Hello, I’m Maritza, and I am a data privacy expert.

I’ve spent my career working in tech. I love technology and acknowledge the many benefits it’s had on society. But I’m worried - deeply worried. The downsides have been devastating, and those of us in tech have not done enough good to take care of the bad. Enough. To do more good, I am focusing on our relationship with data. We need to redefine how we think about, use, and care for data. We need to do better and I am calling on others to join me.

As the Founding Director of the Center for Digital Civil Society at the University of San Diego, I am working to give people the knowledge and agency they need to thrive in a digital world. As a Research Affiliate at Good Research, I work with a wide range of organizations to tackle tough challenges at the intersection of data privacy, security, and technology.

I'm a member of the National Academy of Science Forum on Cyber Resilience, The Ethical Tech Project, and Data Science Alliance's Responsible Data Science Working Group.

To learn more about my work, check out my publications or Data Curious.

Writing

Toward data dignity: We need common-sense privacy regulation to curb Big Techh

Maritza co-authored an op-ed for Fortune on the need for data dignity, alongside fellow founding board members Tom Chavez and Jesper Andersen from The Ethical Tech Project.

HX Report: Aligning Our Tech Future With Our Human Experience

Maritza was interviewed by All Tech is Human, which is committed to uniting a broad range of stakeholders to co–create a better tech future, on the topic of what's needed to shift our current paradigm towards incorporating a wide range of voices in the process of developing and deploying technology. See page 70.

Toward data dignity: How we lost our privacy to Big Tech

Maritza co-authored an op-ed for Fortune on the need for data dignity, alongside fellow founding board members Tom Chavez and Jesper Andersen from The Ethical Tech Project.

Improving Verifiability in AI Development

While a growing number of organizations have articulated ethics principles to guide their AI development process, it can be difficult for those outside of an organization to verify whether the organization’s AI systems reflect those principles in practice. This report grapples with approaches to mitigate these concerns.

Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian Hadfield-, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensold, Cullen O'Keefe, Mark Koren, Théo Ryffel, JB Rubinovitz, Tamay Besiroglu, Federica Carugati, Jack Clark, Peter Eckersley, Sarah de Haas, Maritza Johnson, Ben Laurie, Alex Ingerman, Igor Krawczuk, Amanda Askell, Rosario Cammarota, Andrew Lohn, David Krueger, Charlotte Stix, Peter Henderson, Logan Graham, Carina Prunkl, Bianca Martin, Elizabeth Seger, Noa Zilberman, Seán Ó hÉigeartaigh, Frens Kroeger, Girish Sastry, Rebecca Kagan, Adrian Weller, Brian Tse, Elizabeth Barnes, Allan Dafoe, Paul Scharre, Ariel Herbert-Voss, Martijn Rasser, Shagun Sodhani, Carrick Flynn, Thomas Krendl Gilbert, Lisa Dyer, Saif Khan, Yoshua Bengio, Markus Anderljung

PDF OpenAI

Improving Verifiability in AI Development

What Can’t Data Be Used For? Privacy Expectations about Smart TVs in the U.S.

Smart TVs have rapidly become the most common smart appliance in typical households. We surveyed 591 U.S. Internet users about their current understanding and expectations about how smart TVs collect and use data. We found a wide range of assumptions and opinions among our respondents, and a good deal of uncertainty about what’s collected and how it is used.

Nathan Malkin, Julia Bernd, Maritza Johnson, Serge Egelman

PDF

What Can’t Data Be Used For? Privacy Expectations about Smart TVs in the U.S.

A study of privacy settings errors in an online social network

Access control policies are notoriously difficult to configure correctly, even people who are professionally trained system administrators experience difficulty with the task. With the increasing popularity of online social networks (OSN) users of all levels are sharing an unprecedented amount of personal information on the Internet. We present the results of a study that measures sharing intentions to identify potential violations in users' real Facebook privacy settings. Our results indicate a serious mismatch between intentions and reality: every one of the 65 participants in our study had at least one confirmed sharing violation. In other words, OSN users' are unable to correctly manage their privacy settings. Furthermore, a majority of users cannot or will not fix such errors.

Michelle Madejski, Maritza Johnson,Steven M. Bellovin

PDF DOI

A study of privacy settings errors in an online social network

Talking

BIML in the Barn: Data Privacy and Machine Learning

A talk about the pitfalls of mistaken assumptions in machine learning, and the importance of centering ML product design in human experience.

Podcast: Human-Centered Design | A Conversation With Maritza Johnson | Tech Done Different With Ted Harrington

How do we build things with the user in mind? How do we marry convenience and usability? How do we make the most secure way also be the path of least resistance? As a security researcher focused on human-centered design, Maritza Johnson studies these questions every day. She joins Tech Done Different to share insights from both her research, and her forthcoming center at University of San Diego.

Podcast: Dr. Maritza Johnson talks human-centered privacy | First Watch Podcast with SafeGuard Cyber

Dr. Maritza Johnson, Security & Privacy Researcher, is passionate about making security accessible in people's everyday lives and even teaches about the subject. She shares about how she fell for a phishing email in the grocery store. We discuss how technology is evolving faster than people can change their security behaviors or modify settings, creating what she affectionately calls "a dumpster fire."

Maritza Johnson

Director, USD

Research Affliate, Good Research

Writing

Talking

Contact