Emerging Market Perception Map Series powered by ConceptMiner
■ Overview
The AI Governance & Safety Ecosystem Maps are a collection of international trends, systems, standardization organizations, and corporate initiatives related to AI governance, safety, regulations, and evaluation frameworks. They are structured using ConceptMiner’s Growing Batch Neural Gas + Minimum Spanning Tree technology and organized as multiple Perception Maps (conceptual structure maps).
This is not a typical research report. It is a completely new type of knowledge product that uses large-scale language models (LLMs) and data mining technology to structure and conceptually map text information and supplementary data collected from the internet.
This provides a practical, cognitive map of AI governance that helps companies understand the structure of the continually evolving international regulatory environment, including the EU AI Act, NIST AI RMF, and OECD guidelines, and is useful for corporate risk management, compliance strategies, and product design.
■ Release date
January 30, 2026 (First release: Version 1.0)
After that, we plan to release several updated versions (1.1/1.2) including additional models.
■ Included Perception Maps (examples)
The regulatory and governance domain has a huge document structure, and the categories span countries, institutions, companies, and technology elements.
As such, we will gradually release approximately 25-30 models in Versions 1.0-1.2.
Below are some representative examples (subject to adjustments at the time of official release).
Models(sample)
- International AI Regulatory Framework Correlation Map
(Relationships between the EU, US, Japan, and Asia)
- EU AI Act Requirements Structure Map
(Risk Classification and Compliance Requirements)
- NIST AI Risk Management Framework (RMF) Map
(Functional Structure and Related Documents)
- AI Safety and Assessment Methodology Map
(Alignment Technology, Safety Assessment, Benchmarking)
- AI Governance Support Companies and Tools Map
(By Audit, Assessment, and Risk Management Area)
- International Comparison of AI Ethics and Principles Map
(OECD, UNESCO, G7, and Corporate Guidelines)
- Risk Point Structure Map in the AI Development Process
(Data Collection → Learning → Deployment → Monitoring)
■ Notable trends (analysis and commentary)
The following multi-layered structural changes are occurring simultaneously in the AI governance space.
Perception Maps is optimized to translate these changes into a structural understanding:
1. With the implementation of the EU AI Act, “risk classification” will become a global standard
Due to the influence of EU law, companies are now required to consider the use of AI within the framework of high-risk/low-risk classification and clarification of response obligations.
2. NIST AI RMF to become de facto international standard
The US standard is spreading as a “practical framework” and is forming the backbone of AI risk management processes within companies.
3. Safety Evaluation has become a fully-fledged specialized field
Specialized safety techniques such as alignment, red teaming, and safety benchmarking are rapidly evolving.
4. Expanding the market for corporate governance tools
The AI governance SaaS market is growing rapidly, including audit tools, model management tools, and lifecycle monitoring tools.
5. Establishment of a flow from ethical principles to practical frameworks to compliance
There is an accelerating movement to translate abstract ethical standards into concrete schemes that incorporate practical processes, technologies, and operations.
■ Deliverables
1.Shared Browser Access Model (Perception Maps)
No ConceptMiner license required.
Interactive operation possible from the provided URL.
2. Thematic Overview Report (PDF).
- Overall Market Structure
- Overview of Each Model
- Explanation of Key Trends
- Data Collection Methodology Overview
(PDF updates will be distributed upon update)
3. Version update notification (email)
Version 1.0 → 1.1 → 1.2
Release information for additional models and clusters will be released.
■ Price and Purchase
- Regular Price: USD 1,900
Pre-order Price: USD 1,615 (until December 20, 2025)
- Pay online through Stripe
- URLs and PDF will be sent via email after publication.
- Additional models will be automatically delivered.
■ Target users
- Corporate AI governance personnel
- Risk management and compliance departments
- Strategic and corporate planning
- AI product development companies
- Consultants and analysts
- Researchers seeking a broad perspective on AI ethics and regulations
■ Release Schedule
Released January 30, 2026 (first version: Version 1.0).
Versions 1.1 and 1.2 will be released between 2 and 6 weeks later.
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