Study Group Outputs
AI Governance and its Evaluation
Phase 2 report
AI Governance Ecosystem : Who Manages and Evaluates AI?（July, 2022)
For the three recommendations specified in the phase 1 report to be put into practice, the AI governance ecosystem must have its functions enhanced and diversified by considering implemented cases. The following two areas were examined during the second phase period.
- Updating the AI governance ecosystem: The AI governance ecosystem diagram has been updated to illustrate the phase 2 topics and discussions.
- AI governance ecosystem case studies: The study group has examined how the AI governance ecosystem functions regarding specific service areas such as human resources technology.
Phase 1 report
AI Governance Ecosystem : Trusted AI with Industrial Structure (July, 2021)
Recommended to establish “AI Governance Ecosystem,” where various external actors interact.
The report proposes addressing the following three perspectives, in the process of placing AI related principles such as safety, fairness, privacy, and transparency into practice. It emphasizes the importance for AI governance discussions, and considers how AI services should be provided not only by single companies or organizations, but also with various other entities and actors such as external contexts and evaluation organizations.
1. AI governance ecosystem should be established
2. Reliability of AI should be ensured by taking industrial structure into account
3. Practical examples of Japan’s unique challenges and issues should be disseminated
※Please visit the study group page for each meetings and their summary reports
AI Governance Ecosystem Database
A collection of information sources on related initiatives/practices by each actors in the AI governance ecosystem.
Phase 2 version. Please refer to the phase 2 report to find the discussion regarding the changers.
※to learn more about the study group, please visit here