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[KieLive#13] Can you trust your AI?, by Daniele Zonca
KieLive#13: Can you trust your AI? Given the ubiquity of decision automation and predictive models across different business domains, it is becoming more and more important that such systems can be trusted by all the involved stakeholders. This becomes even more crucial when AI "predictions" can have a tangible impact on humans, e.g. in domains like healthcare or finance. Explainable AI (XAI) is a research field whose aim is to provide insights about how AI / predictive models generate predictions by means of explanations (understandable human representations of a possibly complex model inner workings), to make such models less opaque and more trustworthy. The TrustyAI initiative at Red Hat aims at embracing explainability to foster the trustworthiness of decisions in the area of business process automation, together with runtime tracing of operational metrics and accountability. Link to the slide deck: https://speakerdeck.com/kiecommunity/... About the invited speaker: Daniele Zonca is the architect of Red Hat Decision Manager and TrustyAI initiative where he contributes to open source projects Drools and Kogito focusing in particular on predictive model runtime support (PMML), ML explainability, runtime tracing and decision monitoring. Before that he led Big Data development team in one of the major Italian banks designing and implementing analytical engines. About the KIE Lives: The KIE Live Series is composed of live streamings that bring technical information and updates about business automation delivered by the projects under the KIE umbrella: Drools, jBPM, OptaPlanner, and Kogito. Problems like process automation, decision automation, resource planning solution are the main topics, and of course, we always have in mind recent technology concepts like cloud-native application target for any type of cloud (private/public/hybrid/edge). You can expect to hear from business automation experts who code or/and deliver business automation within big enterprises across the world. Join us to share, learn, and grow together. Knowledge is everything

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