This program will help attorneys understand what artificial intelligence is, how it impacts a range of practice areas and industries, and the ripple effects it creates. The course will define artificial intelligence in its various forms, address ethical standards for the development and use of artificial intelligence, consider bias in artificial intelligence, and address discovery and admissibility of artificial intelligence.
Ronald is a member of Dentons' Litigation and Dispute Resolution practice group. He has an extensive experience in e-discovery and in management of complex litigation and has served as a special master, arbitrator and mediator. He also consults on management and discovery of electronically stored information ("ESI").
Ron Hedges was a United States Magistrate Judge in the United States District Court for the District of New Jersey from 1986 to 2007. While a magistrate judge, he was the Compliance Judge for the Court Mediation Program, a member of the Lawyers Advisory Committee, and both a member of, and reporter for, the Civil Justice Reform Act Advisory Committee. From 2001 to 2005 he was a member of the Advisory Group of Magistrate Judges.
Ron was an adjunct professor at Seton Hall University School, where he taught mediation skills. He was an adjunct professor at Georgetown University Law Center and remains an adjunct professor at Rutgers School of Law— Newark. He taught courses on electronic discovery and evidence at both these schools. Ron was a Fellow at the Center for Information Technology of Princeton University for 2010-11 and 2011-12. He is also a member of the College of the State Bar of Texas.
Gail Gottehrer is the Founder of the Law Office of Gail Gottehrer LLC. Her practice focuses on emerging technologies, including autonomous vehicles, AI, the Internet of Things (IoT), biometrics, robots and facial recognition technology, and the privacy and security laws and ethical issues associated with the data collected and used by these technologies. She is one of the few defense lawyers to have been involved in the trial of a class action to verdict before a jury.
Gail teaches Law for Knowledge Innovation at Columbia University, and is a member of the Advisory Board for Rutgers University’s Leading Disruptive Innovation Program, and a Fellow at the Center for Legal Innovation at Vermont Law School.
Gail is a member of the State of Connecticut’s Task Force to Study Fully Autonomous Vehicles. She is also a member of the New York State Bar Association’s Task Force on Autonomous Vehicles and the Law, and Co-Chairs the Task Force’s Regulatory, Safety, Law and Policy Subcommittee. Gail serves as Co-Chair of the New York State Bar Association’s Technology and the Legal Profession Committee, and is a member of the New York State Bar Association’s Transportation Law Committee, Chair-Elect of the ABA TIPS Automobile Litigation Committee, and Co-Chair of the National Association of Women Lawyers’ IP & Technology Affinity Group. She is also a Member of the IEEE P7014™ Working Group that is developing a Standard for Ethical Considerations in Emulated Empathy in Autonomous and Intelligent Systems.
Gail was selected as one the Profiles in Diversity Journal’s 2017 Women Worth Watching in STEM and one of the Connecticut Technology Council’s 2016 Women of Innovation. She is a graduate of the University of Pennsylvania Law School, and served as a law clerk to the Honorable Murray C. Goldman, in the Philadelphia County Court of Common Pleas. Gail is admitted to practice in New York, New Jersey, Connecticut, and Pennsylvania.
Great pair of presenters. It felt like a conversation.
Solid introduction. Emphasis on potential pitfalls was very useful.
Interesting topic. More to learn.
Very engaging and informative course. I have a much better appreciation of the issues.
It raised things I had not considered but definitely needed to know.
Course was excellent! I took a great deal of notes as I'm sure others did. There was an incredible amount of information to cover. As a burgeoning field, the expert lecturers could have taken two hours to present.
This was a really interesting webcast. I like the way the two presenters talked back and forth in a conversational style rather than just lecturing at us.
Interesting presentation on AI.
different and interesting
Definitions were extremely helpful.