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AAAI's Interactive AI Magazine - AMA with Dr. David Leake - Case-Based Reasoning
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AI experts answer your questions!
For our fourth AMA, we have Dr. David Leake, Professor of Computer Science in the Luddy School of Informatics, Computing and Engineering at Indiana University, where he served as Executive Associate Dean from 2012-2021. He received his PhD from Yale University in 1990. His research is in artificial intelligence and cognitive science, including contributions in case-based reasoning, explanation, intelligent information systems, intelligent user interfaces, and introspective learning. He has authored/edited over 200 publications with over 8,500 Google Scholar citations. He played a key role in developing the field of case-based reasoning and is a five-time winner of best paper awards at the International Conference on Case-Based Reasoning (ICCBR). He is Editor in Chief Emeritus of AI Magazine, the official magazine of the Association for the Advancement of Artificial Intelligence (AAAI), after 17 years as Editor in Chief. In 2014 he received the AAAI Distinguished Service Award. He is a Senior Member of AAAI.
00:00 Introductions
02:22 What do we mean by explanation in AI today?
08:38 How does case-based reasoning explanation differ from explaining deep learning systems?
12:28 What do you think about the claims of chatbot sentience?
22:04 How is feedback used in case-based reasoning after deployment?
23:16 Is case-based reasoning an architecture or library? How is it used?
30:05 How can we build artificial wisdom?
33:05 What excites you most about AI and what most concerns you?
36:38 How can case-based reasoning help eliminate bias in AI?
38:00 What do you think is causing the revolution in AI/ML that we are experiencing?
For our fourth AMA, we have Dr. David Leake, Professor of Computer Science in the Luddy School of Informatics, Computing and Engineering at Indiana University, where he served as Executive Associate Dean from 2012-2021. He received his PhD from Yale University in 1990. His research is in artificial intelligence and cognitive science, including contributions in case-based reasoning, explanation, intelligent information systems, intelligent user interfaces, and introspective learning. He has authored/edited over 200 publications with over 8,500 Google Scholar citations. He played a key role in developing the field of case-based reasoning and is a five-time winner of best paper awards at the International Conference on Case-Based Reasoning (ICCBR). He is Editor in Chief Emeritus of AI Magazine, the official magazine of the Association for the Advancement of Artificial Intelligence (AAAI), after 17 years as Editor in Chief. In 2014 he received the AAAI Distinguished Service Award. He is a Senior Member of AAAI.
00:00 Introductions
02:22 What do we mean by explanation in AI today?
08:38 How does case-based reasoning explanation differ from explaining deep learning systems?
12:28 What do you think about the claims of chatbot sentience?
22:04 How is feedback used in case-based reasoning after deployment?
23:16 Is case-based reasoning an architecture or library? How is it used?
30:05 How can we build artificial wisdom?
33:05 What excites you most about AI and what most concerns you?
36:38 How can case-based reasoning help eliminate bias in AI?
38:00 What do you think is causing the revolution in AI/ML that we are experiencing?