As we continuously witness scientific and application breakthroughs in artificial intelligence, such as deep learning, chatbots, self-driving cars, and smart devices, the relationship between machine intelligence and human intelligence has become a major field of intellectual inquiry. Augmented intelligence aims to enhance human intelligence with computers, which has a different focus from autonomous decisions and behaviors in artificial intelligence. On a related note, augmented cognition uses the tools of neuroscience and principles of human-computer interaction to provide real-time feedback of cognitive or emotional states. Augmented intelligence has generated significant impacts on various parts of our work and lives.
This 90-minute panel will discuss the conceptual and practical implications of computing technologies for enhancing humans’ decision-making, cognitive process, and work. The panelists, consisting of both academic and industry experts in augmented intelligence, will be sharing their findings, thoughts, and visions on how to better understand and harness the power of augmented intelligence.
- Julie Basu, CEO, founder, and Head of R&D at smartQED
- Jim Spohrer, IBM Director, Cognitive OpenTech
- Lingyao (Ivy) Yuan, Assistant Professor of Information Systems, Iowa State University
- Michelle Zhou is a Co-Founder and CEO of Juji, Inc.
About the panelists:
- Jim Spohrer directs IBM’s open-source Artificial Intelligence developer ecosystem effort. After his MIT BS in Physics, he developed speech recognition systems at Verbex (Exxon) before receiving his Yale PhD in Computer Science/AI. In the 1990’s, he attained Apple Computers’ Distinguished Engineer Scientist and Technologist role for next generation learning platforms. He was CTO IBM Venture Capital Group, co-founded IBM Almaden Service Research, and led IBM Global University Programs. With over ninety publications and nine patents, he received the Gummesson Service Research award, Vargo and Lusch Service-Dominant Logic award, Daniel Berg Service Systems award, and a PICMET Fellow for advancing service science. Jim was elected as LF AI Technical Advisory Board Chairperson and ONNX Steering Committee Member (2020-2021). Jim is ISSIP.org founding board member.
- Dr. Michelle Zhou is a Co-Founder and CEO of Juji, Inc., an Artificial Intelligence (AI) startup located in Silicon Valley, specializing in building state-of-the-art AI technologies and solutions that enable the rapid creation and adoption of responsible and empathetic AI agents. Prior to starting Juji, Michelle led and managed the User Systems and Experience Research (USER) group at IBM Research – Almaden and then the IBM Watson Group. Michelle’s expertise is in the interdisciplinary area of intelligent user interaction (IUI), including conversational AI systems and personality analytics. She is an inventor of the IBM Watson Personality Insights and has led the development and commercialization of at least a dozen products in her areas of expertise. Michelle is the current Editor-in-Chief of the ACM Transactions on Interactive Intelligent Systems (TiiS). Michelle has published over 100 peer-reviewed, refereed scientific articles and 45 patents. She received a Ph.D. in Computer Science from Columbia University and is an ACM Distinguished Scientist.
- Julie Basu, PhD, is the CEO, founder, and Head of R&D at smartQED (https://smartqed.ai), a collaboration & AI startup located in Silicon Valley. Her current work focuses on accelerating the resolution of problems and incidents through effective visualization of investigations along with augmented intelligence that learns from humans as they work. This patent-pending technology has applications in enterprise IT operations, customer support, and general root cause analysis in different domains. Earlier Julie worked at Oracle Corporation in Redwood Shores, leading the design and development of several enterprise software products. She is a co-inventor of 5 patents awarded by the USPTO. Julie received a Master’s and a PhD degree from Stanford University. Her PhD thesis was on the performance optimization of databases through caching of query results.
- Lingyao (Ivy) Yuan is an Assistant Professor of Information Systems and Business Analytics of Debbie and Jerry Ivy College of Business at Iowa State University. Her research interests include the impact of non-cognition behavior and decision making, especially the impact of emotion, on computer mediated communication, decision making, and collaboration. She has conducted research in the fields of augmented intelligence, virtual reality, neural rendering, and human realistic avatars in the context of electronic commerce. She works in collaboration with MOTUS lab at University of Sydney on neural rendering and human realistic avatars. Her research related to the area of augmented intelligence has been published in the Decision Sciences, Journal of Management Information Systems, Journal of the Association for Information Systems, and AIS Transactions on Human-Computer Interaction as well as several conferences including International Conference on Information Systems, Annual Hawaii International Conference on System Sciences, and INFOMRS Annual Meeting.