Researchers from Florida Atlantic University’s Schmidt College of Medicine, in collaboration with the Caridad Health Center, Inc., and the University of Miami Miller School of Medicine, have received a $500,000 grant from the National Institutes of Health (NIH) for a project to tackle chronic health disparities through the use of electronic health records (EHR), artificial intelligence, machine learning (AI/ML) and the Internet of Things (IoT). Read more “NIH Grant to FAU, Caridad Center, and UM MSOM will Tackle Disease Disparities”
Join us as Dr. Nick Tsinoremas, Founding Director of IDSC and Vice Provost for Research Computing and Data, leads an important discussion to learn more about: Read more “Move Beyond Data Collection: Practical Perspectives for Researchers 11/17”
The Meet a Data Scientist series is a chance to get up close and personal with top-level data science professionals. Join us for a talk on AI Law with Professor Joseph Avery from the Miami Herbert Business School. Prof. Avery conducts research at the intersection of the behavioral, computer, and management sciences. Read more “Meet a Data Scientist presents Joseph Avery on AI Law 9/28”
The Meet a Data Scientist series is a chance to get up close and personal with top-level data science professionals. Join us for a talk on AI Law with Professor Joseph Avery from the Miami Herbert Business School. Prof. Avery conducts research at the intersection of the behavioral, computer, and management sciences.
Register Now | Wednesday 9/28, 4:00-5:00 PM via Zoom
TALK TITLE: Artificial legal intelligence: Case studies and experiments exploring successes and hurdles in this nascent subset of AI
Artificial intelligence (AI)- and machine learning (ML)-based technologies have the potential to transform the law, addressing bias, access-to-justice, efficiency, consistency, and other important issues. Yet adoption has been slow, lagging adoption in adjacent professional spheres like medicine and finance. In this talk, I present two examples of high-value AI-law applications, one in the public sector (AI to improve prosecutorial plea-bargaining decisions) and one in the private sector (AI for civil settlement decisions). In both applications, I encountered significant hurdles, one that was more psychological in nature and one that was of a more technical nature. The psychological hurdle concerned how legal matters impinge moral ones. The technical hurdle concerned data silos, data sharing, and privacy. I unpack the former through four experiments, and I unpack the latter largely through explication of a proposed solution. I conclude by mapping the way forward in artificial legal intelligence, both in terms of research and application.
Joseph J. Avery is an Assistant Professor at the University of Miami Herbert Business School, a Faculty Member of Miami’s Institute for Data Science and Computing, and an Affiliated Fellow at Yale Law School’s Information Society Project. Dr. Avery’s primary line of research employs the methods and tools of the computer, behavioral, and management sciences, as well as those of experimental jurisprudence, to consider artificial intelligence (AI) in three contexts: (1) perception of AI behavior, especially AI failures; (2) the intersection of AI and moral decision making; and (3) artificial legal intelligence.
Prior to joining Miami’s faculty, Dr. Avery received a PhD from Princeton University and a JD from Columbia Law School. In addition, he completed a postdoctoral resident fellowship at Yale Law School. Dr. Avery has practiced law, co-created an artificial legal intelligence named Claudius, and co-founded a National Science Foundation-supported legal technology company.
About the Meet a Data Scientist Lecture Series
The purpose of this series is to introduce the people behind the data, their lives, interests, career choices, their work, and their passion for how they use data to solve grand challenges in their respective fields. This lecture series is co-sponsored by the Miami Clinical and Translational Science Institute (CTSI) and is free and open to the public.
Over the years, new technology has helped Radiologists diagnose illness, but it has also changed their jobs. To diagnose illness in the past, physicians spent time speaking with patients. Today, they spend more time scrutinizing images, patient electronic medical records, and other data sources. Read more “Using Advanced Computing to Create AI-ML Diagnosis Toolbox”
In the past four decades, the field of artificial intelligence (AI) has made major advances in many aspects of healthcare. But there are still many challenges ahead, according to Ram D. Sriram, Ph.D., chief, software and systems division, National Institute of Standards and Technology (NIST). Read more “Catch the Replay: NIST’s Ram Sriram on Major AI Advances in Health Care”
Join us for another cutting-edge lecture as Ram D. Sriram, PhD, Chief of the Software and Systems Division at the National Institute of Standards and Technology’s (NIST) IT Lab, takes a look at the third wave of AI combining neural networks and knowledge structures and how it is impacting his health care research at NIST. Read more “Data Citizens presents NIST’s Dr. Ram Sriram 4/19”
IDSC Innovation Officer Dr. Yelena Yesha will be a featured speaker at the 35th International FLAIRS (the Florida Artificial Intelligence Research Society) Conference co-hosted by Charles University Faculty of Mathematics and Physics and the University of Miami College of Arts & Sciences, Read more “Dr. Yelena Yesha Featured Speaker at FLAIRS-35 5/15-18”
Join us for another cutting-edge lecture as Ram D. Sriram, PhD, Chief of the Software and Systems Division at the National Institute of Standards and Technology’s (NIST) IT Lab, takes a look at the third wave of AI combining neural networks and knowledge structures and how it is impacting his health care research at NIST. Read more “Data Citizens: A Distinguished Lecture Series presents NIST’s Dr. Ram Sriram 4/19”
Daniel Messinger, Lynn Perry, et al. contributed to the book series “Advances in Child Development Behavior,” Volume 62 “New Methods and Approaches for Studying Child Development,” Chapter 7 “Computational Approaches to Understanding Interaction and Development,” which focuses on vocal interaction and development in children.