The UC Berkeley Center for Long-Term Cybersecurity is pleased to announce our 2018 Spring Seminar Series. We are honored to welcome four distinguished speakers from the UC Berkeley community and beyond.
On March 8, Catherine Crump, Assistant Clinical Professor of Law and Director of the Samuelson Law, Technology & Public Policy Clinic, and Andrew Ferguson, from the UDC David A. Clarke School of Law, will discuss issues related to surveillance and policing in the era of “big data.” On March 22, Juliana Schroeder, Assistant Professor in the Haas Management of Organizations Group, will speak about her research on the impact of giving machines human-like voices. And on April 26, Doug Tygar, Professor of Computer Science and Information Management at UC Berkeley, will present “Adversarial Machine Learning.”
All three of our CLTC Spring Seminars will take place between 12:00-1:00pm in South Hall, Room 205 on the UC Berkeley campus (map). A light lunch is included for attendees who RSVP in advance (see links below). Stay tuned to the CLTC newsletter as well as Facebook and Twitter for updates.
Thursday, 3/8, 12-1pm
A Conversation on Big Data, Surveillance, and Policing
Catherine Crump, Assistant Clinical Professor of Law; Director, Samuelson Law Technology and Public Policy Clinic; Co-Director, Berkeley Center for Law & Technology
Andrew Guthrie Ferguson, Professor of Law, UDC David A. Clarke School of Law
This event will feature a conversation between scholars interested in issues related to surveillance, policing, and civil liberties. In his talk, “The Rise of Big Data Policing,” Andrew Guthrie Ferguson will focus on how cutting-edge technology is changing how the police do their jobs, and why it is more important than ever that citizens understand the far-reaching consequences of big data surveillance as a law enforcement tool. He will reveal how these new technologies—viewed as race-neutral and objective—have been eagerly adopted by police departments hoping to distance themselves from claims of racial bias and unconstitutional practices. Yet behind the data are real people, and difficult questions remain about racial discrimination and the potential to distort constitutional protections.
In her presentation, “Surveillance Policy Making By Procurement,” Catherine Crump will discuss ways in which federal funding for surveillance equipment disrupts local accountability mechanisms that typically regulate policing. These federal funding programs generally are designed to prevent terrorism but in reality are overwhelmingly used for routine law enforcement purposes. The talk will discuss in detail the structural and institutional features that lead local law enforcement agencies to adopt surveillance technology that is out of step with community norms, and will review the ways in which some local communities have passed laws in an attempt to address this issue systematically.
Thursday, 3/22, 12-1pm
Mistaking Minds and Machines: How Speech Affects Dehumanization and Anthropomorphism
Juliana Schroeder, Assistant Professor, Haas Management of Organizations Group
Treating a human mind like a machine is an essential component of dehumanization, whereas attributing a humanlike mind to a machine is an essential component of anthropomorphism. In this talk, Juliana Schroeder will discuss her recent research focused on how the voice can affect the likelihood of mistaking a person for a machine, or a machine for a person. Her experiments demonstrated that “people are more likely to infer a human (vs. computer) creator when they hear a voice expressing thoughts than when they read the same thoughts in text. Adding human visual cues to text (i.e., seeing a person perform a script in a subtitled video clip) did not increase the likelihood of inferring a human creator compared with only reading text, suggesting that defining features of personhood may be conveyed more clearly in speech.” She will explain her research and discuss implications for dehumanizing others through text-based media, and for anthropomorphizing machines through speech-based media.
Thursday, 4/26, 12-1pm
Adversarial Machine Learning
Doug Tygar, Professor of Computer Science & Information, UC Berkeley
Doug Tygar is Professor of Computer Science at UC Berkeley and also a Professor of Information Management at UC Berkeley. He works in the areas of computer security, privacy, and electronic commerce. His current research includes privacy, security issues in sensor webs, digital rights management, and usable computer security. His awards include a National Science Foundation Presidential Young Investigator Award, an Okawa Foundation Fellowship, a teaching award from Carnegie Mellon, and invited keynote addresses at PODC, PODS, VLDB, and many other conferences.
Doug Tygar has written three books; his book Secure Broadcast Communication in Wired and Wireless Networks (with Adrian Perrig) is a standard reference and has been translated to Japanese. He designed cryptographic postage standards for the US Postal Service and has helped build a number of security and electronic commerce systems including: Strongbox, Dyad, Netbill, and Micro-Tesla. He served as chair of the Defense Department’s ISAT Study Group on Security with Privacy, and he was a founding board member of ACM’s Special Interest Group on Electronic Commerce.
Please contact firstname.lastname@example.org if you have any questions about these events.