Dean Alderucci is the Director of Research for the Center for AI & Patent Analysis at Carnegie Mellon University. He leads original research in Natural Language Processing and Machine Learning algorithms that are tailored to the unique challenges of patent law and practice. He was previously Chief IP counsel and a partner at a global financial services firm, and before that Chief Counsel for a business incubator.
Kevin D. Ashley, a Professor of Law and Intelligent Systems at the University of Pittsburgh, is an expert on computer modeling of legal reasoning. He performs research in the field of legal text analytics and studies how to prepare law students for its effects on legal practice. He is the author of Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age (Cambridge University Press, 2017).
Amy Beth Cyphert is a Lecturer in Law at the West Virginia University College of Law and also the Director of the ASPIRE Office, which assists students who are applying for nationally competitive scholarships and fellowships. Cyphert is a Morgantown native and a 2001 graduate of Carnegie Mellon University, where she was awarded a Truman Scholarship. Cyphert graduated cum laude from Harvard Law School in 2005, and went on to clerk for the Honorable Laura Taylor Swain in the Southern District of New York. Prior to joining WVU, Cyphert was a senior litigation associate with WilmerHale in New York City, where she focused on complex commercial litigation as well as first amendment pro bono matters. Cyphert's research focuses on varying areas, including artificial intelligence, education law, creating change for children in vulnerable situations, and algorithmic decision making in schools and the criminal justice system.
Joshua P. Davis is a professor, a Dean's Circle Scholar, and the Director of the Center for Law and Ethics at the University of San Francisco School of Law. He has published dozens of law review articles and book chapters on jurisprudence, legal ethics, civil procedure, class actions, antitrust law, and free speech doctrine. His recent research has focused on the intersection of AI, consciousness, ethics, and legal philosophy. He has published two law reviews on the topic, has a forthcoming book chapter , "AI, Ethics, and Law: A Possible Way Forward," in Artificial Intelligence and Private Law: Global Perspectives (Cambridge University Press 2022)), and is currently writing a book, U nnatural Law: AI, Consciousness, Ethics, and Legal Philosophy (forthcoming in Cambridge University Press 2022/2023).
Tabrez Ebrahim is an Associate Professor at California Western School of Law, and is an Ostrom Visiting Scholar at Indiana University (Bloomington), a Visiting Fellow at the University of Nebraska (Lincoln) Governance and Technology Center (NGTC), a Visiting Associate Professor at University of California, San Diego (UCSD), and a Thomas Edison Innovation Fellow and a Leonardo da Vinci Fellow with the Center for the Protection of Intellectual Property (CPIP) at George Mason University Antonin Scalia Law School. His primary scholarship concerns law and technology, entrepreneurship and business law, and patent law. He graduated with a J.D. degree from Northwestern University Pritzker School of Law, a M.B.A. degree from Northwestern University Kellogg School of Management, a LL.M. degree from University of Houston Law Center, a M.S. degree in mechanical engineering from Stanford University, and a B.S. degree in mechanical engineering from the University of Texas at Austin.
Susan Saab Fortney
Susan Saab Fortney serves as a University Professor at Texas A&M University School of Law where she directs the Program for the Advancement of Legal Ethics. Her current research focuses on issues related to legal ethics and malpractice, as well as organizational ethics and sexual harassment.
Chris Chambers Goodman
Chris Chambers Goodman is a Professor of Law at Pepperdine Caruso School of Law, where she teaches Evidence, Constitutional Law, and courses in racial justice. She is a frequent speaker and writes extensively on issues of diversity, equity, and inclusion in the legal profession and in the education contexts. Her recent work focuses on equity issues that arise when using Artificial Intelligence in education.
Stephen Henderson is the Judge Haskell A. Holloman Professor of Law at the University of Oklahoma. Most recently, Professor Henderson has become quite interested in juries and the potential legal ramifications of artificial intelligence and quantum computing, but for years he has written on slightly-less-glamorous but slightly-more-pressing topics of American criminal law and procedure, including a lot about search and seizure and a little about vigilantism. He enjoys teaching from his textbooks and collaborating with other scholars, providing teaching materials and public education through two websites, and sometimes tilting at windmills through legislative testimony, the drafting of standards, or an amicus brief.
Janine Hiller is Professor of Business Law, Sorensen Professor in Finance, and Director of Integrated Security in the Pamplin College of Business at Virginia Tech. She teaches and researches in the areas of cyberlaw, data privacy and security, and ethics. Hiller is widely published in both legal and business journals.
Erin Kelley earned her J.D. from WVU College of Law in 2003. Her professional interests include the intersection of education, law, and technology. She is the of Director of Learning Design and Transformation for the WVU Teaching and Learning Commons. Kelley teaches Social Media and the Law at WVU.
Daryl Lim is Professor of Law and the Director of the Center for Intellectual Property (IP), Information & Privacy Law at the University of Illinois at Chicago (UIC) John Marshall Law School. Professor Lim is an award-winning author, observer, and commentator of global trends in IP and competition policy, and how they influence and are influenced by law, technology, economics, and politics.
Tom C.W. Lin
Tom C.W. Lin is the Jack E. Feinberg Chair Professor of Law at Temple University’s Beasley School of Law. He is also an Academic Fellow at George Washington University’s Center for Law, Economics & Finance. His research and teaching expertise are in the areas of business organizations, corporations, securities regulation, financial technology, financial regulation, and compliance.
Maya Medeiros is an intellectual property lawyer, patent agent (Canada, US) and trademark agent (Canada, US) and has a degree in mathematics and computer science. She has extensive experience in artificial intelligence, blockchain, cybersecurity, cryptography, payments, graph theory, risk management, gaming, face recognition, communications, healthcare and medical devices, virtual and mixed reality, wearables, and other computer-related technologies. She is a key contributor to www.aitech.law on the ethical and legal implications of artificial intelligence. Ms. Medeiros is an adjunct professor at Osgoode Hall Law School, York University and teaches a course on the commercialization of intellectual property. She leads a collaboration with IP Osgoode Innovation Clinic to supervise its clinic students and service emerging companies.
Jena Martin is a Professor of Law at West Virginia University College of Law and the Young Fellow for the Center for Consumer Law and Education, where she has done extensive research on data privacy. Prof. Martin’s scholarship focuses on business and human rights in both a national and international context. Her work on the subject has been presented at the United Nations.
Emile Loza de Siles
Emile Loza de Siles is Assistant Professor of Law at Duquesne University School of Law. Her scholarship centers on artificial intelligence (AI) and law emphasizing interdisciplinary science and technology topics, social justice, and critical theory. Emile joined the legal academy in 2019 after sixteen years in intellectual property and technology practice in her firm, Technology Law Group, and in the Office of General Counsel, U.S. Department of Commerce. Her private clients have included HP, Cisco Systems, Accenture, and numerous other tech-driven organizations and innovators. She clerked for the Honorable Sergio A. Gutierrez of the Idaho Court of Appeals and the Honorable Sheila Anthony of the U.S. Federal Trade Commission. Emile holds a technology BS, MBA, and her JD from The George Washington University School of Law. She holds a cybersecurity strategy graduate certificate from Georgetown and has another in data science underway with Harvard.
Before joining the Gonzaga University School of Law as an assistant professor in 2019, Professor Simshaw practiced public interest communications and technology law and taught at the Georgetown University Law Center and the Elon University School of Law. He researches the interplay between artificial intelligence, legal ethics, access to justice, and legal education. His article, "Ethical Issues in Robo-Lawyering: The Need for Guidance on Developing and Using Artificial Intelligence in the Practice of Law," was published in the Hasting Law Journal.
Shine (Sean) Tu
Shine (Sean) Tu is a professor at the West Virginia University College of Law. A registered patent attorney, Dr. Tu’s research focuses on the empirical analysis of patent examiner behavior. He has written numerous publications, including three books and articles in journals such as the Stanford Technology Law Review, the Duke Law and Technology Review, and the Vanderbilt Journal of Entertainment and Technology. Prior to joining the faculty at the WVU College of Law in 2011, Dr. Tu was an associate with Foley & Lardner LLP and a member of both the firm’s Chemical, Biotechnology & Pharmaceutical Practice, and the Life Sciences and Nanotechnology Industry teams. Dr. Tu also worked as a research assistant for Judge Richard A. Posner of the United States Court of Appeals for the Seventh Circuit. He received his law degree, with honors, from the University of Chicago Law School and his Ph.D. in Pharmacology from Cornell University.
Professor Sandra Wachter is an Associate Professor and Senior Research Fellow focusing on law and ethics of AI, Big Data, and robotics as well as Internet regulation at the Oxford Internet Institute at the University of Oxford. Her current research focuses on the legal and ethical implications of AI, Big Data, and robotics as well as profiling, inferential analytics, explainable AI, algorithmic bias, diversity, and fairness, governmental surveillance, predictive policing, and human rights online. Professor Sandra Wachter serves as a policy advisor for governments, companies, and NGO’s around the world on regulatory and ethical questions concerning emerging technologies.