Elith Begins AI Governance Certification Support, Responding to JDLA's AI Governance Certification Standards
Elith Inc. has announced the start of AI governance certification support for businesses, in response to the AI governance certification standards developed by the Japan Deep Learning Association (JDLA). This initiative enables companies to establish mechanisms for safely utilizing AI.
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- 📰 Published: April 10, 2026 at 23:56
- 🔍 Collected: April 11, 2026 at 00:22 (26 min after Published)
- 🤖 AI Analyzed: April 20, 2026 at 05:28 (221h 5m after Collected)
Elith Inc. announces that it has begun providing AI governance certification support for businesses, in response to the AI governance certification standards developed by the Japan Deep Learning Association (JDLA).
■ Background: Practical Challenges Arising from the Rapid Spread of AI
While the use of generative AI is rapidly expanding across companies, the following challenges are becoming apparent on the ground:
- Inability to grasp which AI is being used to what extent within the company (Shadow AI)
- Insufficient management of personal information input and organization of DPA (Data Processing Agreements)
- Undeveloped rules regarding copyright and scope of use for generated content
- The expansion of new AI utilization forms demands a higher level of control than ever before
In this situation, creating a system not to "avoid using" AI but to "continue using it safely" has become an urgent issue for companies.
■ About JDLA's AI Governance Certification Standards
JDLA has developed new AI governance certification standards to enable companies to advance AI utilization while achieving appropriate control.
At the "JDLA Connect x CDLE All Hands ~AI Co-creation Society, Learning Accelerates Japan's Implementation~" held on March 19, 2026, this certification was introduced as a practical first step towards ISO/IEC 42001 (AI Management System).
This certification provides a practical framework for companies to gradually build AI governance, including the development of internal regulations, inventory of AI usage, and implementation of risk assessments.
■ About Elith's Initiatives
Elith has been engaged in AI development and implementation support in areas requiring high accuracy and accountability, such as finance, healthcare, and manufacturing, leveraging its strong technical capabilities backed by extensive achievements, including research adoption at top international conferences like ICCV and features in external media such as Forbes.
At the same event, Elith's representative, Inoue, spoke as a leading example of AI governance, introducing practical initiatives such as internal regulation development, AI ledger management, and risk assessment.
Elith's strength lies in its ability to provide integrated support for both AI development and implementation practices and governance construction.
■ Background: Practical Challenges Arising from the Rapid Spread of AI
While the use of generative AI is rapidly expanding across companies, the following challenges are becoming apparent on the ground:
- Inability to grasp which AI is being used to what extent within the company (Shadow AI)
- Insufficient management of personal information input and organization of DPA (Data Processing Agreements)
- Undeveloped rules regarding copyright and scope of use for generated content
- The expansion of new AI utilization forms demands a higher level of control than ever before
In this situation, creating a system not to "avoid using" AI but to "continue using it safely" has become an urgent issue for companies.
■ About JDLA's AI Governance Certification Standards
JDLA has developed new AI governance certification standards to enable companies to advance AI utilization while achieving appropriate control.
At the "JDLA Connect x CDLE All Hands ~AI Co-creation Society, Learning Accelerates Japan's Implementation~" held on March 19, 2026, this certification was introduced as a practical first step towards ISO/IEC 42001 (AI Management System).
This certification provides a practical framework for companies to gradually build AI governance, including the development of internal regulations, inventory of AI usage, and implementation of risk assessments.
■ About Elith's Initiatives
Elith has been engaged in AI development and implementation support in areas requiring high accuracy and accountability, such as finance, healthcare, and manufacturing, leveraging its strong technical capabilities backed by extensive achievements, including research adoption at top international conferences like ICCV and features in external media such as Forbes.
At the same event, Elith's representative, Inoue, spoke as a leading example of AI governance, introducing practical initiatives such as internal regulation development, AI ledger management, and risk assessment.
Elith's strength lies in its ability to provide integrated support for both AI development and implementation practices and governance construction.