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A New Frontier Facing Attorneys And Paralegals: The Promise & Challenges Of Artificial Intelligence As Applied To Law & Legal Decision-Making, Marissa Moran Jan 2020

A New Frontier Facing Attorneys And Paralegals: The Promise & Challenges Of Artificial Intelligence As Applied To Law & Legal Decision-Making, Marissa Moran

Publications and Research

Artificial Intelligence/AI invisibly navigates and informs our lives today and may also be used to determine a client’s legal fate. Through executive order, statements by a U.S. Supreme Court justice and a Congressional Commission on AI, all three branches of the United States government have addressed the use of AI to resolve societal and legal matters. Pursuant to the American Bar Association Model Rules of Professional Conduct[i] and New York Rules of Professional Conduct (NYRPC), [ii] the legal profession recognizes the need for competency in technology which requires both substantive knowledge of law and competent use of technology for …


Ethical Testing In The Real World: Evaluating Physical Testing Of Adversarial Machine Learning, Kendra Albert, Maggie Delano, Jonathon Penney, Afsaneh Ragot, Ram Shankar Siva Kumar Jan 2020

Ethical Testing In The Real World: Evaluating Physical Testing Of Adversarial Machine Learning, Kendra Albert, Maggie Delano, Jonathon Penney, Afsaneh Ragot, Ram Shankar Siva Kumar

Articles, Book Chapters, & Popular Press

This paper critically assesses the adequacy and representativeness of physical domain testing for various adversarial machine learning (ML) attacks against computer vision systems involving human subjects. Many papers that deploy such attacks characterize themselves as “real world.” Despite this framing, however, we found the physical or real-world testing conducted was minimal, provided few details about testing subjects and was often conducted as an afterthought or demonstration. Adversarial ML research without representative trials or testing is an ethical, scientific, and health/safety issue that can cause real harms. We introduce the problem and our methodology, and then critique the physical domain testing …