The Death of Eyewitness Testimony and the Rise of the Machine
Andrea Roth - Keynote Speaker
Andrea Roth is Professor of Law at UC Berkeley, and one of several faculty co-directors of the Berkeley Center for Law and Technology. She teaches and writes in Evidence, Forensic Evidence, Criminal Law, and Criminal Procedure. Before coming to Berkeley, she was a Grey teaching fellow at Stanford and a public defender for 9 years in Washington, D.C., and clerked for Justice Dana Fabe of the Alaska Supreme Court. She has a B.S. in mathematics and political science from the University of New Mexico and a law degree from Yale. This year, she was one of four recipients of the campus-wide Berkeley Distinguished Teaching Award. Her work includes Beyond Cross Examination: A Response to Cheng and Nunn (Tex. L. Rev. Online 2019), Spit and Acquit: Prosecutors as Surveillance Entrepreneurs (Cal. L. Rev. 2019), and Machine Testimony (Yale L.J. 2017).
Professor Valena Elizabeth Beety is Professor of Law at Arizona State University Sandra Day O'Connor College of Law and the Deputy Director of the Academy for Justice, a criminal justice center connecting research with policy reform. Previously, Beety served as a law professor and the Founding Director of the West Virginia Innocence Project at the West Virginia University College of Law. Beety also created and served as the inaugural Director of the first Forensic Justice LL.M. degree program in the United States while at WVU Law. Her experiences as a federal prosecutor in Washington, D.C., and as an innocence litigator in Mississippi and West Virginia, shape her research and writing on wrongful convictions, forensic evidence, the opioid crisis and incarceration. Professor Beety has successfully exonerated wrongfully convicted clients, obtained presidential grants of clemency for drug offenses, and served as an elected board member of the national Innocence Network and an appointed commissioner on the West Virginia Governor's Indigent Defense Commission. She is the co-author of the Wrongful Convictions Reader (2018).
Professor Bennett Capers is the Stanley A. August Professor at Brooklyn Law School. His academic interests include the relationship between race, gender, culture, and criminal justice, and he is a prolific writer on these topics. His articles and essays have been published or are forthcoming in leading law reviews, including the California Law Review, Columbia Law Review, Cornell Law Review, Michigan Law Review, NYU Law Review, and the UCLA Law Review. He is currently an editor on two forthcoming books: Critical Race Judgments: Rewritten U.S. Court Opinions on Race and Law (Cambridge University Press) and Feminist Judgments: Criminal Law (Cambridge University Press). His book, The Prosecutor's Turn (Metropolitan Books), will be published in 2021.
Keith A. Findley is an associate professor at the University of Wisconsin Law School, where he teaches evidence, law and forensic science, wrongful convictions, and criminal procedure. His primary areas of research focus on wrongful convictions, including the role that forensic sciences play in both causing and correcting wrongful convictions, and the ways that cognitive biases can impede the criminal justice system's reliability. In 1998, he co-founded the Wisconsin Innocence Project, and he served as co-director of the project until 2017, when he became Senior Advisor to the Project. He was a founding member of the Innocence Network-the international affiliation of nearly 70 innocence advocacy organizations-and has served on its Executive Board since its inception in 2005. He served as President of the Innocence Network from 2009-2014. In 2017, with collaborators Jerry Buting and Dean Strang, he co-founded the Center for Integrity in Forensic Science, which seeks to improve the scientific validity of forensic science evidence through policy work, training, amicus briefs, and direct assistance to defense lawyers challenging unreliable or unvalidated forensic techniques and evidence. He also currently co-chairs the City of Madison, Wisconsin, Ad Hoc Committee to Review the Police Department's Policies, Procedures, Training, and Culture; serves as a Commissioner on the Madison Police and Fire Commission; and is a member of the Medicolegal Death Investigation Consensus Body of the American Academy of Forensic Sciences Standards Board. He has previously worked as an Assistant State Public Defender in Wisconsin, both in the Appellate and Trial Divisions. He has litigated hundreds of post-conviction and appellate cases, at all levels of state and federal courts, including the U.S. Supreme Court.
Margaret Hu is an Associate Professor of Law at Washington and Lee University School of Law. Her research interests include the intersection of immigration policy, national security, cybersurveillance, and civil rights. She is a member of the Advisory Board of the Future of Privacy Forum, a non-profit think tank in Washington, D.C., that promotes responsible data privacy policies. Previously, she served as senior policy advisor for the White House Initiative on Asian Americans and Pacific Islanders, and also served as special policy counsel for immigration-related discrimination in the Civil Rights Division, U.S. Department of Justice (DOJ). Professor Hu holds a B.A. from the University of Kansas and a J.D. from Duke Law School. She is a Truman Scholar and a Foreign Language Area Studies Scholar. She clerked for Judge Rosemary Barkett on U.S. Court of Appeals for the Eleventh Circuit and joined DOJ through the Honors Program.
Dr. Patrick Juola has been working for more than two decades on AI and the Law. Most of his work has focused on determining the authorship of a document via stylometry (the study and measurement of writing style). Using this technology, Juola has been able to identify J.K. Rowling's use of a pen name to write The Cuckoo's Calling, to testify about judicial misconduct in Chevron Corp. via Donziger, and to help a refugee remain in the United States in Federal Immigration Court, and to address numerous cases of alleged document fraud. Juola received his Ph.D. in computer science from the University of Colorado at Boulder (USA) in 1995, then worked for three years as a postdoctoral researcher in the department of experimental psychology at Oxford University (UK). Since 1998, he has been working at Duquesne, where he is currently Professor of Computer Science.
Jane Campbell Moriarty, Conference Chair
Jane Campbell Moriarty is the Carol Los Mansmann Chair in Faculty Scholarship, Associate Dean for Faculty Scholarship, and Professor at Duquesne University School of Law, specializing in Evidence, Scientific and Expert Evidence, Neuroscience and Law, and Professional Responsibility. Among her publications are a treatise, Giannelli, Imwinkelried, Roth & Moriarty, Scientific Evidence (Sixth Ed., forthcoming 2020); a casebook, Scientific and Expert Evidence (Third ed., forthcoming 2020) (with John M. Conley); and many law review and peer reviewed articles in the areas of scientific evidence, judicial decision making, and legal ethics. She is completing a book for NYU PRESS entitled, Are You Lying Now? Neurotechnology and Law (2021).
Erin Murphy is a professor at NYU School of Law. Her research focuses on technology and forensic evidence in the criminal justice system. She is an internationally recognized expert in forensic DNA typing, and her work has been cited multiple times by the Supreme Court.
Wes Oliver teaches criminal law and criminal procedure at Duquesne Law School and publishes in the areas of criminal law and procedure, history, and computer science. He began his career as a criminal defense lawyer in Nashville, developing a keen interest in the problem of racial bias in police searches, particularly for drugs. His first academic publication called for a more aggressive use of the exclusionary rule to limit racially profiled stops and searches. Then as his work shifted to the origins of investigatory criminal procedure, Oliver became critical of the exclusionary rule, seeing it as relic of the Prohibition Era that has distracted the courts from meaningful regulation of more pressing concerns of police force and interrogation practices. His present work with machine learning attempts to find a solution to biased decision-making, at least in the context of drug interdiction, that has proven too difficult for legal standards and remedies.