Title: rAIson: Democratizing Explainable and Trustable AI through Argumentative Reasoning

Abstract: rAIson is a no-code symbolic AI development platform from the AI startup Argument Theory (www.argument-theory.com) that democratizes the modeling and development of explainable, trustworthy AI applications. Built on over 25 years of internationally recognized research in computational argumentation, rAIson empowers developers and organizations to develop, deploy and commercialize transparent, automated argumentation-based decision-making systems—without writing a single line of code. Uniquely positioned in an AI landscape increasingly shaped by ethical, regulatory, and performance requirements, the platform bridges the gap between compliance demands for explainability and transparency, and industry's need for scalable, reliable AI. In this talk, I will first share insights into the argumentation technology behind rAIson, and then demonstrate its power in building symbolic AI applications through real-world use cases, modeled and developed with rAIson technology.