AI Governance

Mitsubishi Electric Group’s Initiatives for Responsible AI

The Mitsubishi Electric Group has declared in "Our Philosophy" a commitment to creating new possibilities for a better tomorrow, with bold vision and boundless innovation. In accordance with this, we will contribute to the realization of a sustainable society by solving social issues through technological innovations in AI. Furthermore, the Mitsubishi Electric Group will promote the responsible development and use of AI, taking into account not only convenience but also safety and security. In addition, this policy will adapt and evolve based on changes in the technology related to AI, social trends, and continuous dialogue with diverse stakeholders. In summary, using this policy as a guide, the Mitsubishi Electric Group will create a brighter tomorrow by contributing to the realization of an AI society that is centered on human beings.

Framework for Responsible AI

The Mitsubishi Electric Group launched the Maisart® brand in 2017 and announced our AI Ethics Policy in December 2021. In June 2025, we established categories for “high-risk” AI businesses based on the AI Ethics Policy. For businesses that fall under these categories, the Risk Management Division conducts risk assessments from a third-party perspective, incorporating opinions from external experts as necessary, and ensures that management decisions are made accordingly.In the case of AI development and utilization within the Company, each responsible corporate division supports both business units and R&D divisions.

Going forward, we will continue to provide products and services from both the perspectives of AI development/utilization and risk management, with the aim of delivering a human-centered, safe, and secure AI society.

Diagram showing Mitsubishi Electric Group’s framework for promoting Responsible AI. Under the direction of the CRO and CDO, the Risk Management Division reports matters of concern, while corporate divisions support business units and R&D divisions in AI development and utilization. The diagram also shows mutual communication with stakeholders.

AI Literacy Education

Since 2022, the Mitsubishi Electric Group has introduced an AI ethics education program into our internal training initiatives to ensure employees maintain a high level of literacy when developing and utilizing AI. Currently, in preparation for the use of generative AI, the Mitsubishi Electric Group is expanding its training programs to further enhance AI literacy among all employees.

Manga × AI Exhibition

Communication with Stakeholders

Since 2020, the Mitsubishi Electric Group has been promoting the AI SPEC Project, which creates opportunities for discussions with internal and external stakeholders about “The Future of Living with AI” to foster ethical awareness regarding AI.

At our event facility, METoA Ginza*, we held the “Manga × AI Exhibition” from December 2023 to April 2025, where we independently produced manga that encourages reflection on AI ethics, thereby creating a platform for dialogue.

Mitsubishi Electric Group will continue to invigorate communication with both internal and external parties regarding the responsible development and utilization of AI.

  • METoA Ginza was closed on August 4, 2025.

R&D for Trustworthy AI

Mitsubishi Electric Group is engaged in various research and development efforts to enhance the reliability of AI, aiming to realize a society where AI can be used with confidence.

Diagram comparing standard AI performance evaluation and formal verification. It shows that technology enabling rapid and comprehensive verification of AI behavior can accelerate the formal verification cycle and reduce the risk of AI malfunctions compared with standard AI performance evaluation.

Technology for Rapid and Comprehensive Verification of AI Behavior

Mitsubishi Electric Group has developed a technology that enables rapid and comprehensive verification of AI behavior, specifically targeting ensemble decision tree models.
By utilizing this technology, the verification cycle can be accelerated, thereby reducing the risk of AI malfunctions.

Diagram comparing conventional AI and trustworthy AI. With conventional AI, enormous amounts of testing are required to assess AI reliability against the risk of malfunctions. With trustworthy AI, the amount of testing can be significantly reduced, enabling safe operation of equipment, shorter lead times, and lower costs.

Technologies to Ensure the Reliability of AI

Mitsubishi Electric Group and France's National Institute for Research in Digital Science and Technology are conducting joint research on a technology that combines Formal Methods technologies with AI technologies such as large-scale language models to theoretically verify the reliability of AI output.