Guest Speaker: Klaus Mueller, PhD; Assistant Professor, Department of Biomedical Informatics
Topic: Explainable AI
When: Wednesday, October 31, 2018
Time: 3:00 – 4:00PM
Where: NEW LOCATION: BMI FACULTY AND STUDENT SUITE: HSC –L3 ROOM 045
Abstract:
Fueled by high performance computing architectures and our ability to capture and store massive amounts of data we are currently experiencing a renaissance of artificial intelligence. Soon we will reach autonomous systems that can make complex decisions and execute them completely on their own. The crucial question however is, are we ready to place our fate and trust into the hands of these robotic systems? At this point, most if not all of these systems are black boxes. We might trust them with accomplishing low-risk tasks, like placing an online ad, but certainly not with high stakes decisions in finance, medicine, business, and so on. This realization has led to a new research trend, Explainable AI, in which machine-learning techniques are augmented such that they are able to produce more human-explainable models. A key part of these are dedicated visual human computer interface techniques that are capable of translating models into understandable and effective explanations. In this talk I will present some of my research that falls into this general area, applied to several domains, such as casual reasoning, deep learning, cluster analysis, and others.
Learning Objectives:
· Attendees will learn about advanced techniques in data science and visual analytic
· Attendees will learn how to explain the outcomes of data-driven AI algorithms
· Attendees will learn about interactive techniques and interfaces by which they can participate in the analysis and infuse their domain knowledge
Bio:
Klaus Mueller received a PhD in computer science from The Ohio State University and is currently a professor of computer science at Stony Brook University. His research interests are data science, visual analytics, HCI, and medical imaging. He won the NSF CAREER award in 2001, the SUNY Chancellor Award for Excellence in Scholarship and Creative Activity in 2011, and the Meritorious Service Certificate of the IEEE Computer Society in 2016. He has authored over 200 peer reviewed articles which have been cited more than 8,500 times. He was the chair of the IEEE Visualization and Computer Graphics Technical Committee from 2012-2105 and is the incoming Editor-in-Chief of IEEE Transactions on Visualization and Computer Graphics. Finally, he is also Founder, President and CEO of a small NSF-funded start-up company, Akai Kaeru LLC. For more info see http://www.cs.sunysb.edu/~mueller/
**CME Credit Available**
The School Of Medicine, State University of New York at Stony Brook, is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
The School of Medicine, State University of New York at Stony Brook designates this live activity for a maximum of 1 AMA PRA Category 1 Credit(s) ™. Physicians should only claim the credit commensurate with the extent of their participation in the activity. Disclosure Policy: All those in control of CME content are expected to disclose any relevant financial relationship with the provider of commercial products or services discussed in the educational presentation or that have directly supported the CME activity through an educational grant to the sponsoring organization(s). All commercial relationships that create a conflict with the planners, speakers, author’s control of content must be resolved before the educational activity occurs.
CME Reminder:
· All CME credits are now being entered onto the online Stony Brook system.
· In order to receive CMEs you MUST register using through this link: https://cme.stonybrookmedicine.edu/my-cme-account/sign-up.
· You will be able to view and print your credits yourself whenever you need them.