Artificial Intelligence is the science and practice of systems that exhibit the characteristics we associate with intelligent human behavior. This first of two sessions will cover the basics of AI and some scary applications of AI. During the second session class participants and the instructor will discuss how AI is implemented in their fields. 

Class participants will gain a practical grounding in the science of artificial intelligence. They will acquire the ability to identify, discuss, and evaluate issues surrounding existing and novel AI applications.

Note: This class is recommended prior to taking “AI 201” in a future semester that will deal with public policy issues surrounding Artificial Intelligence.  For those who took the course in 2021, this will also serve as a good refresher.

Feedback from past courses with Larry:

“Dr. Rudner’s three session course has been the MOST impactful I’ve attended during the past 6 years. His preparation was evident, relevant, and THOUGHT-PROVOKING. Although I had a significant conflict during the third session, I am especially thankful to the Chesapeake Forum who has made recorded classes available so that I can witness the content provided in the last class. The Chesapeake Forum should consider inviting Dr. Rudner back to teach ANY topic he selects.”

“Excellent class! Engaging, knowledgeable, and well-prepared instructor sparked an interest in the subject both during and outside of class. I learned a great deal more than I’d ever expected. Thank you!”

“This was one of the best courses I’ve taken thru Chesapeake Forum. Informative, with a lot of discussion based on the pro and con of innovations and innovative uses of AI. Larry did a great job moderating the discussion on this interesting topic!”

HYBRID COURSE.  A recording of each session will be provided

2 Sessions |Wednesdays | Mar 23, 30 | 1-2:30 pm | $20

rudner

Larry Rudner, Ph.D.

Lawrence Rudner, Ph.D., retired as the Vice President for Research and Development at the Graduate Management Admission Council (GMAC®), sponsor of the GMAT® exam, where he was responsible for the Psychometric Research and the Market Research and Analysis Divisions. Larry’s work in AI includes the design and development of one of the first engines for Automated Essay Scoring. In addition, he developed an approach for documenting copyright infringements for which he received a US Patent. His other applications include a tool for finding rogue websites illegally presenting proprietary information, tools for implementing and evaluating computer adaptive testing, an optimization approach for Automated Test Assembly, and a measurement model that optimizes accurate classification decisions. Dr. Rudner has received the Award for Outstanding Dissemination of Educational Measurement Concepts to the Public from the National Council on Measurement in Education and the Career Achievement Award from the Association of Test Publishers. Prior to joining GMAC®, he was the Director of the ERIC Clearinghouse on Assessment and Evaluation, a Senior Fellow at the American Institutes for Research (a contract research firm), a Senior Associate (GS-15) in the US Government, and a faculty member at several universities. He has been the principal investigator on more than 40 grants and contracts and has published more than 150 articles for both technical and lay audiences. He is also the founder and past co-editor of the online journal Practical Assessment, Research and Evaluation (PARE), which is the most widely read journal in the assessment field.

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