Join us for an enthralling 60-minutes talk on how Artificial Intelligence (AI) understands reality, according to the latest joint theory of computer scientists and philosophers.
Prof. Dan Cautiș from Georgetown University will talk about the philosophical considerations in artificial intelligence, machine learning and statistical networks, tackling some controversial topics
such as correlation vs causation.
This discussion will prove yet again how important philosophy is to science in general and to machine learning in particular, how ignoring philosophical analysis could create erroneous results even using correct algorithms and how a joint team of researchers (computer science and philosophers) were able to bring new and important discoveries in the epistemology of causation that would have been impossible had they worked independently.
How structural causal discovery works in large systems of information and events;
New grounds in how AI understands reality and handles uncertainty;
Practical implications in robotics, medical diagnostics expert systems, drug discovery,
social sciences studies, manufacturing quality improvements.
15 seats available for the first to confirm