Pinaki Laskar on LinkedIn: #AI #Engineering #machinelearning

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Why Is Transdisciplinary #AI Needed? TransAI should be human-centred by including the following aspects: Explainable AI, i.e., they allow humans to understand the reasons behind their recommendations or decisions; Verifiable AI, i.e., they guarantee fundamental properties like safety, privacy and security; Physical AI, it refers to the use of AI techniques to solve problems that involve direct interaction with the physical world, e.g., by observing the world through sensors or by modifying the world through actuators. What distinguishes Physical AI systems is their direct interaction with the physical world, contrasting with other AI types, e.g., financial recommendation systems (where AI is between the human and a database); chatbots (where AI interacts with the human via Internet); or AI chess-players (where the chess board state to the AI algorithm). Collaborative AI, i.e., they can share knowledge with humans and take decisions jointly with them; Integrative AI, i.e., they can combine different requirements and methods into one AI system. TransAI embraces interdependent elements: Philosophical AI AI has closer scientific connections with philosophy than do other sciences, because AI shares many concepts with philosophy, e.g.