Elith Inc. will co-host an online webinar with Emuni Inc. explaining the latest trends in AI safety for the manufacturing industry, titled "The Frontline of AI Safety in Manufacturing: Quality Evaluation and Risk Countermeasures for Using AI Safely."
In recent years, while the use of generative AI in business operations has been rapidly expanding, building an operational framework that ensures accuracy, safety, and transparency has become a critical challenge in manufacturing. This webinar organizes and clearly explains, from a practical standpoint based on the knowledge of both companies, the major risks involved in using generative AI, evaluation methods, and security requirements.
It focuses on issues of particular importance in manufacturing, such as quality risks like hallucination and bias, challenges with RAG accuracy, and risks of cross-border data transfer and information leakage. It also explains, with real-world deployment examples, how to respond to the EU AI Act and the AI Business Operator Guidelines, how to build an evaluation framework including log management, key points for choosing between on-premises LLMs and cloud environments, and security requirements specific to manufacturing.
Also, it will cover real examples of safety and quality verification using Elith’s AI risk management tool "GENFLUX," along with the design of evaluation metrics and operational considerations needed to produce results in the field.
Through this webinar, we will deliver practical, hands-on knowledge for using AI safely and securely on the manufacturing floor.
■ Event overview
Title: Quality evaluation and risk countermeasures for using AI safely
Date/time: Thursday, January 15, 2026, 12:00–13:00
Application deadline: Thursday, January 15, 2026, 11:00
Fee: Free
Format: Online (Zoom webinar)
Registration:https://webinar.emuniinc.jp/emuni-vol011-seminar
■ Who should attend
- Those responsible for AI adoption, planning, or DX promotion in manufacturing
- Those in manufacturing who want to balance AI utilization with safety
- Those responsible for risk assessment and standard-setting for AI adoption
■ Speaker profiles
Yuta Shimono
Co-founder and Representative Director & CEO, Emuni Inc.
Graduated from the Department of Applied Science, Graduate School of Energy Science, Kyoto University. Spent three years at Matsuo Institute working on the real-world deployment of AI for manufacturing, serving as a PM on anomaly detection and root-cause identification using IoT sensors, automated visual inspection, and production-plan optimization. Has extensive project experience with major companies including Preferred Networks, DeNA, and Recruit. On the business side, spent one year in consulting sales at Matsuo Institute. As CEO of Emuni Inc., handles a wide range of responsibilities including sales activities and hands-on coding and management for demo development. A first-cohort member of the Matsuo Lab Kigyo Quest (Entrepreneurship Quest) program. Selected for the SCIENCE & SOCIAL category of Forbes JAPAN’s "30 UNDER 30 2025," recognizing 30 people under 30 who are changing the world.
Koki Inoue
Representative Director, CEO/CTO, Elith Inc.
Earned a master’s degree researching materials exploration for quantum computers at the Japan Advanced Institute of Science and Technology. While running the company, is also a doctoral student in the Graduate School of Medicine at Tohoku University, researching medical AI in the field of medical physics. As a research outcome, had work accepted and presented at AAPM, a top conference in medical physics. Is also active in writing, including a book (published by Shuwa System) offering 80 command-line exercises for a practical-level understanding and mastery of Git, and contributing articles on large language models to "Nikkei Linux" (Nikkei BP).