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VERSION:2.0
METHOD:PUBLISH
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ORGANIZER;CN=ESTAD 2023:mailto:info@metec-estad.com
LOCATION:Room 2
SUMMARY:Causal and counterfactual AI techniques for autonomous optimization in steel industry: Explainable, cognitive and informed
DESCRIPTION:Modern process industries is driven by decision making, decisions which need solid factual understanding of a situation. Through the recent successes of artificial intelligence, mainly due to its subfield of machine learning, prediction and knowledge models are available to support those decisions.

Explainable AI (XAI) developed techniques for fusing expert knowledge, existing physical equations and easily to interpret relations to provide more insight into the result generation of machine learning models. Counterfactual AI provides a way to work with the available data and to introduce straightforward means of mathematical logic and conditional probability into real. Such systems can answer hypothetical question like „if the tension at the rolling would not have been too high, would the strip would still have been damaged“. This requires the AI system to first adopt a perspective that is not present in the current data set evaluated, second, to utilise all previously learned information and third to combine it in form of Bayesian conditional probabilities to actually predict the scenario in which the questioned parameters would have occurred. 

Counterfactual AI is therefore able to scan its own machine learning input variables for „what-if“ scenarios, which can be straightforwardly applied to selected use cases in steel processing and process industry in general. In more global context, Counterfactual thinking in autonomous systems is one step towards Causal AI. The latter combines common machine learning approach on data, causal inferences on the found relationships including counterfactual questions and lastly physics-informed approaches with analytical process models. 

The talk will give details on the described techniques and presents real world applications of the discussed methods. It will cover different processes of the steel production route like continuous casting and rolling, to display the advantages brought by Causal and Counterfactual AI. 

CLASS:PUBLIC
DTSTART:20230614T101000
DTEND:20230614T103000
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