Papers Elith has written on putting AI to work in society. Request one and we will send a link to the email address you enter.
Published by Elith
Limited edition
The Wave of AI Regulation: AI Governance White Paper 2026 for Japanese Companies to Survive
This white paper explains the risks associated with the business use of generative AI, such as hallucinations and confidential data leaks, as well as global regulatory trends in regions including the EU, the US, and Japan. Furthermore, drawing on evaluation frameworks and initiatives from AI Safety Institutes worldwide—such as J-AISI—it presents actionable steps that companies should take immediately to build sustainable AI governance.
This is a limited edition and cannot be downloaded.
Limited edition
LLM Implementation and Industrial Adoption: Challenges and Design Principles from the Field
This white paper outlines the implementation challenges of large language models (LLMs) across industries such as finance and healthcare, along with design principles incorporating AI safety and governance. From understanding internal mechanisms and avoiding common pitfalls to fostering organizational AI literacy and building appropriate frameworks, it provides a systematic guide for adopting LLMs safely and effectively in business.
This is a limited edition and cannot be downloaded.
Limited edition
RSAC Conference Report White Paper 2026: Security Redesign in the Era of AI Agents
Based on an on-site inspection at RSAC 2026, this white paper outlines the necessity of redesigning security to adapt to the rapid growth of AI agents. It presents key trends and countermeasures for transitioning from traditional perimeter defense to zero trust and governance, including addressing Shadow AI and establishing identity and privilege management for AI agents. For the Japanese market, the report recommends a phased approach that integrates AI deployment environments with security controls.
This is a limited edition and cannot be downloaded.
PHYSICAL AI ROBOTICS: Robot Development in the Age of Physical AI - The Current State of Robot Data and Robot Safety, and Elith's Initiatives
This white paper outlines the current state of robotics development in the era of Physical AI, highlighting the importance of "Robot Data" for AI training and evaluation, as well as "Robot Safety" for evaluating and ensuring operational safety. Furthermore, it introduces Elith's initiatives to build a continuous model improvement cycle by feeding back weaknesses identified through safety evaluations into data development.
