Keynotes ETLTC & ICETM 2024
Prof. Dr. Wolfgang Ziegler
Experiences from Industry-Academic Cooperation Projects on the Implementation of Semantic Correlation Rules in Technical Information Management
Prof. Dr. Peter Ilic
Prof. Dr. Fotis N. Koumboulis
System Frameworks for Digital Twinning
Prof. Dr. Tatang Herman
Faculty of Mathematics and Natural Science Education, UPI, INDONESIA
Prof. Takuichi Nishimura
Collaborative abduction for exploration of new or tacit knowledge - Can Humans and AI co-evolve with data, knowledge, and feelings?
We would like to develop a personal robot AI that seeks out the user's dreams and goals based on the user's preferences and circumstances and assists the user to progressively grow toward those dreams. The robot AI will use wearable sensors worn by the user and sensors embedded in the real world to understand the user's activities, situations, and features. Then, by interacting with the user, it will seek directions to solve problems and set up dreams and goals. It accompanies and supports the user in realizing his/her dreams throughout his/her life. AI can process data and knowledge in its frame much faster than humans. However, to solve a user's problem or realize a user's dream, knowledge outside the frame may be necessary. In such cases, it is necessary to find an expert who is knowledgeable about the knowledge and acquire knowledge outside the frame of that expert. In this case, the skills to expand the frame interactively with people, consistent with the knowledge within the frame, are required. Furthermore, we would like to develop an AI with abduction capability to explore new knowledge. Even if the AI generates a hypothesis by its knowledge, it is impossible for the AI to evaluate the hypothesis by itself. Therefore, we seek a collaborative abduction technique that generates effective hypotheses by asking philosophical questions to users and experts and verifies the hypotheses together. This keynote provides directions for building the AI that drive the co-evolution of human and AI.
Prof. Dr. Michael Cohen
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