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ORGANIZER;CN=ESTAD 2023:mailto:info@metec-estad.com
LOCATION:Room 2
SUMMARY:Transparency and explainability: Key factors for successful AI applications in ironmaking
DESCRIPTION:When using AI-based results for decision making or decision support, the reliability and a basic understanding of the underlying reasoning process is essential. Due to the involved complex metallurgy, thermodynamics and material parameters, modelling ironmaking processes with first principles methods is demanding. Artificial Intelligence (AI) and other data driven methods offer solutions for such complex systems. While AI- Algorithms are powerful, they tend to be black boxes. This can be overcome with Explainable AI and by considering Meta-Information.

In this paper we present, how successful AI based applications for sinter plants, blast furnaces and direct reduction plants are built using such transparency techniques and how they are integrated into state-of-the art decision-support systems.


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DTSTART:20230614T130000
DTEND:20230614T132000
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