It is our utmost pleasure at the Visual Intelligence and Multimedia Analytics Laboratory (VIMAL) to virtually host Jennifer Lynch, Surveillance Litigation Director and a senior lawyer with the Electronic Frontier Foundation as part of VIMAL’s seminar series.
POC: Wael AbdAlmageed
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If speaker allows recording for this VIMAL Seminar talk, it will be posted on our USC/ISI YouTube page within 1-2 business days: VIMAL’s seminar series.
The United States has been described as a “nation of laws.” By this we mean we are governed by a constitution and a set of concrete statutes written by humans, and not by the arbitrary will of a few individuals. But what happens when the implementation of those laws is guided by technologies that may be flawed, not auditable, and not fully understood by the law enforcers who rely on them? This talk will discuss the intersection of AI/ML and constitutional law and how AI—even if it could be implemented with perfect accuracy—may still interfere with democratic values of privacy, freedom of expression, and human autonomy.
Jennifer Lynch is the Surveillance Litigation Director and a senior lawyer with the Electronic Frontier Foundation, a non-profit dedicated to the protection of privacy and civil liberties in the digital world. Jennifer leads EFF's legal work challenging government abuse of search and seizure technologies by filing lawsuits and amicus briefs in state and federal courts, including the U.S. Supreme Court. She founded EFF's Street Level Surveillance Project, which informs activists, defense attorneys, and policymakers about new police tools. In 2017, the First Amendment Coalition awarded her its Free Speech and Open Government Award for her years-long litigation against the Los Angeles Police and Sheriff's Departments seeking access to Automated License Plate Reader (ALPR) records and for setting new precedent in California’s public records law. In 2021, the Daily Journal named her to its list of lawyers who “Defined the Decade” for her work “guarding privacy in an over-policed world.” Jennifer has written influential white papers on biometric data collection in immigrant communities and law enforcement use of face recognition. She has also published on forensic genetic genealogy searches with the National Association of Criminal Defense Lawyers (NACDL) and on suspicionless police searches of consumer data as part of the Hoover Institution's Aegis Paper Series. She speaks frequently at legal and technical conferences as well as to the general public on technologies like location tracking, biometrics, algorithmic decision making, and AI, and has testified on facial recognition before committees in the Senate and House of Representatives. She is regularly consulted as an expert on these subjects and others by major and technical news media.