Modeling and Simulation Meet AI: AI for Science and Art
, Emeritus Professor of the History and Philosophy of Science, University College London
, Distinguished Professor of Statistics and Director of the Centre for Data Science , QUT
, Program Leader, Honorary Professor, CSIRO, Research School of Computer Science at ANU
, Director of Strategic Researcher Engagement, NVIDIA
, Lighthouse Professor and Chair of Transportation Modelling & Simulation, “Friedrich List” Faculty of Transport and Traffic Science, Technical University of Dresden
Science and modeling/simulation are inherently creative processes. And artificial intelligence (AI) has the potential to assist humans in effective and creative knowledge discovery (and already does). AI has the capacity to educate and augment humans, and make them better at their jobs and activities, including carrying out more effective scientific discovery. We'll explore the current state of knowledge discovery, as well as scientific and creative methods in the context of AI use. We'll highlight and show examples of how generative methods, AI-driven modeling, and simulation techniques can generate new theories, uncover new knowledge, or create art. Last but not the least, we'll summarize how AI systems should be used responsibly and be aligned to cultural conventions that underline interactions with humans, including communication aspects.