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Public-Private Data Relationships: Understanding the Everyday Processes

Yan Fang, PhD Candidate, School of Law, Jurisprudence and Social Policy, UC Berkeley
Over the past two decades, Internet technology companies have developed products that collect large amounts of information about people. Government agencies at the federal, state, and local levels often seek these user data for law enforcement purposes. How do firms’ collection of user data affect law enforcement? My project explores...

Automatic Guidance for Privacy-Aware Browsing

Gerald Friedland, Adjunct Assistant Professor, Department of Electrical Engineering and Computer Science, UC Berkeley
The recent change in EU law (as well as, for example, the Facebook login key activation scheme) requires most authentication-enabled websites to have a privacy policy under /privacy, even when they go through Google or GitHub. We propose to build a browser plugin that automatically reads out the privacy policy...

Developing Graduate Pedagogy for Tomorrow’s Engineers

Thomas Gilbert, PhD Candidate, Sociology, UC Berkeley
Sarah Dean, PhD Student, Department of Electrical Engineering and Computer Sciences, UC Berkeley
Roel Dobbe, Postdoctoral Researcher, AI Now Institute, New York University
Nitin Kohli, PhD Student, School of Information, UC Berkeley
McKane Andrus, Graduate Student Researcher, Berkeley Artificial Intelligence Research, UC Berkeley
From Facebook’s data negligence to the first fatalities involving autonomous vehicles, 2018 has seen the public awaken to the profound security implications of widespread AI and large scale data collection. We propose a purposeful convening at Berkeley to reorient cybersecurity research and pedagogy towards protecting civil institutions through robustness, fairness,...

Speculating ‘Smart City’ Cybersecurity with the Heart Sounds Bench: Détourning Data and Surveillance in Public Space

Noura Howell, PhD Candidate, School of Information, UC Berkeley
‘Smart city’ visions promise safety and efficiency using sensors, data, and technology. While data-driven approaches often claim to escape social prejudice with objective insights, they can instead bolster inequity and create cybersecurity threats for vulnerable populations. By changing the visions of what we want sensing and data to do in...

Design of Secure Future Mobility Solutions

Alice Agogino, Professor|Education Director, Department of Mechanical Engineering, UC Berkeley
Euiyoung Kim, Assistant Professor, Department of Product Innovation Management, Faculty of Industrial Design Engineering, TU Delft
Vivek Rao, Lecturer, Haas School of Business, UC Berkeley
The goal of this research is to gain knowledge about cybersecurity vulnerabilities in emerging mobility technologies, such as autonomous vehicles, onboard sensors, monitoring systems, and customizable and shared car services. These new mobility solutions have the potential of reducing cost, time, and resources (such as maintenance cost, insurance, parking, etc.)...

Evaluating Privacy and Security of Emerging Technologies for Older Adults

Alisa Frik, Postdoctoral Researcher, International Computer Science Institute, UC Berkeley
Florian Schaub, Assistant Professor, School of Information, University of Michigan
Primal Wijesekera, Staff Research Scientist, International Computer Science Institute, UC Berkeley
Serge Egelman, Research Director, International Computer Science Institute, UC Berkeley
In recent years, older adults have been increasingly involved in using technologies, including emerging devices, especially in the domain of healthcare, such as wearable and in-home health management, safety monitoring, fall detection, and emergency alert systems. These technologies aid in improving elderly people’s safety and health, and support independent living....
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