Dr. Bruce E. Peoples has over 27 years experience in researching and developing advanced complex training, performance, decision, and production support systems and has architected several advanced, “self learning” systems. His research activities led to the filing of over 50 Invention Disclosures and 15 Patent Applications. His inventions include the development of a cutting edge BCI system that controls the flight of an unmanned aerial vehicle using only thoughts. Dr. Peoples also designed and led development of the first paperless learning media production system that mass-produced digital “modular” information objects, also known as Sharable Content Objects (SCOs) that could be used standalone, as aggregations, or in Performance Support Systems and Decision Support Systems, in any delivery environment, without changing “module” code. In recognition of his past research, Dr. Peoples was awarded a Raytheon 2006 Excellence in Technology award. Dr. Peoples has been active in several International Standards Committees, developing the standards necessary for implementing “next gen” Information Communication Technologies on a global scale. He is Chair Emeritus of an ISO/IEC Standard Committee, ISO/IEC JTC1 SC 36 Information Technology for Learning, Education and Training. Dr. Peoples was awarded BS and MS degrees from Clarion University of Pennsylvania, and a PhD degree from Université Paris 8 Saint-Denis, France.
Artificial Intelligence (AI) can basically be defined as a multidisciplinary field whose goal is to automate activities that presently require human intelligence. The goal requires interdisciplinary and/or transdisciplinary research approaches and communication techniques among technology domains such as Mathematics, Psychology, Philosophy, Neuroscience, Cognitive Science, Social Science, and Computer Science. The goal of this Participatory Workshop is to foster innovative interdisciplinary and/or transdisciplinary collaborations to form innovative AI implementations. To achieve this goal, the Workshop will explore what technologies and sciences are important in forming "safe and non-threatening" AI solutions that can think and act both humanly and rationally, through sensing, comprehending, acting, and learning.
