​This event examines the future of computing beyond TBD

​Agenda

​18:00 Doors open

​18:30 - 20:00 TBD Speakers

​20:00 - 21:00 Networking & Food & Drinks

​21:00 Doors close

​Speakers

​Talk 1 - Building Trust in AI: Explainability in the LLM Era

​Speaker: Ehssan Wahbi

​Abstract: Large Language Models (LLMs) have rapidly transformed artificial intelligence, enabling powerful applications across natural language processing, vision, automation, and decision support. However, their increasing scale and complexity make it difficult to understand how these models generate their outputs. This talk explores the role of Explainable Artificial Intelligence (XAI) in improving the transparency and reliability of LLM-based systems. It discusses the limitations of traditional XAI techniques when applied to large-scale generative models and highlights emerging approaches that emphasize human-centered and application-oriented explanations. The presentation also outlines current research direction and practical approaches for improving interpretability, with the goal of supporting the development and responsible deployment of trustworthy AI systems.

​Bio: Ehssan Wahbi is a researcher and AI practitioner specializing in machine learning, sign language processing, and explainable AI. He is the author of SATSLP, a Semi-Auto-Regressive Transformer for Sign Language Production. At Corpy, he contributes to the research and development of advanced AI technologies as part of the XAI team, focusing on improving transparency and trust in modern AI systems, including object detection models, graph neural networks (GNNs), and large language models (LLMs).

​Talk 2 - Practical Explainability for Reliable Production LLM Systems

​Speaker: Ryan Ginstrom

​Abstract: As LLMs move into production, their probabilistic nature creates unpredictable failures. This talk offers an engineering roadmap using operational and behavioral layers to build robust LLM systems in production. Attendees will explore techniques like RAG traceability and confidence scoring across tiered modes.

​Bio: Ryan is a CTO and seasoned engineering leader specializing in AI engineering, LLMs, and RAG systems. He is a graduate of Stanford University’s Department of Linguistics and holds multiple patents related to NLP and conversational systems. At Corpy, he leads the engineering organization and scalable infrastructure development, focusing on building high-performance production ML systems. He leverages over 20 years of experience across startups and major tech firms to bridge Japanese and global AI innovation.

​Talk 3 - TBD

​Speaker: TBD

​Abstract: TBD

​Bio: TBD

​Organizers

​​​​​​​Ilya Kulyatin is an entrepreneur with work and academic experience in the US, Netherlands, Singapore, UK, and Japan. He holds a BA in Economics, an MA in Finance, and an MSc in Machine Learning. He's a 3x founder, now helping Japan grow the local AI ecosystem through a not-for-profit community, Tokyo AI (TAI), while building an AI-native system integrator and solutions provider, Foundry Labs株式会社.

​Supporters

​​​Tokyo AI (​​​TAI) is the largest technical AI community in Japan, with 4,000+ members mainly based in Tokyo (engineers, researchers, investors, product managers, and corporate innovation managers).

​​Value Create is a management advisory and corporate value design firm offering services such as business consulting, education, corporate communications, and investment support to help companies and individuals unlock their full potential and drive sustainable growth.

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