Konica Minolta Establishes the Konica Minolta Group Basic Policy on the Use of Artificial Intelligence

Tokyo (June 18, 2021) – Konica Minolta, Inc. (Konica Minolta) has established the Konica Minolta Group Basic Policy on the Use of Artificial Intelligence (AI Policy) to help improve the use of AI to build a better society.

Konica Minolta’s management vision is “Imaging to the People,” and the company has been striving toward the goals of “supporting people to achieve their own purpose” and “realization of a sustainable society.” To achieve this vision, the company has been actively using AI in the development of products and services, as well as in its corporate activities, including R&D, manufacturing and sales. However, the inappropriate use of AI can cause various problems, including privacy or human rights violations.

Against this backdrop, Konica Minolta established the AI Policy to share an understanding of the appropriate use of AI throughout the group and unite all its members in actively using AI to contribute to creating a better, human-centric society, to fulfill its responsibility as a global company.

Goals set forth in the AI Policy:

To realize a society where people can pursue motivation and satisfaction in life
To ensure safety and security
To respect fairness
To pursue transparency and accountability
To work with stakeholders, creating the way for appropriate use of AI
To foster human resources

For more details on the AI Policy, please visit:
https://www.konicaminolta.com/about/csr/use-of-ai.html

Konica Minolta’s AI-Based Innovations

1. Imaging IoT that combines IoT and AI with optical devices and image sensing technologies

Leveraging its proven track record of developing information and medical devices capable of high-speed image processing, coupled with its strengths as a manufacturer, Konica Minolta incorporates low-power-consumption, high-speed AI functions on the edge side (e.g., embedded devices and on-premises servers). In the field of human behavior analysis, the company has achieved both high-precision image recognition and high-speed processing capabilities that enable humans to be detected in static images, as well as estimation of 2D human pose. These capabilities are used in the following solutions.