East Asia

Japan

Japan has a clear public-source technical safety stack through NII LLMC, LLM-jp Safety WG, Japan AISI guidance, and Japanese benchmark work from SB Intuitions and RIKEN-linked teams.

Government posture

Japan AISI’s published evaluation and red-team guides indicate a concrete LLM-system safety-evaluation posture; this profile keeps AISI guidance separate from broader research outputs.

Standards and evaluation

Public documentation covers evaluation scope, red-teaming methods, prompt-injection classes, Japanese safety-boundary testing, guardrail benchmarking, and safety-enhancing Japanese datasets.

Research ecosystem

The ecosystem mixes institutional coordination with concrete outputs on guardrails, safety datasets, and interpretable trustworthy foundation technologies. RIKEN NLU remains medium-confidence for core frontier-safety relevance.

International engagement

NII’s symposium and LLM-jp ecosystem appear designed to connect academic, industry, and policy actors in an internationally legible format.

Seed entities

AI Safety Institute Japan

AIセーフティ・インスティテュート

Japan

Ai Safety InstituteTier 1

Strong public technical-evaluation node with explicit guides for LLM-system safety evaluation and red teaming.

Frontier Ai SafetyEvaluationTesting InfrastructureAi Assurance

Confidence: HighVerified: 2026-06-06

Information-technology Promotion Agency, Japan

独立行政法人情報処理推進機構

Japan

GovernmentTier 1

Host agency in which Japan AISI is placed and where the AISI secretariat was set up.

Ai GovernanceCapacity BuildingTesting Infrastructure

Confidence: HighVerified: 2026-06-05

AISI Related Ministries and Agencies Liaison Meeting

AIセーフティ・インスティテュート関係府省庁等連絡会議

Japan

Policy ProgramTier 1Needs primary

Cabinet Office-linked inter-ministerial coordination mechanism around Japan AISI, with ministries, research institutes, IPA, and AISI represented.

Ai GovernancePolicy RegulationInternational DialogueCapacity Building

Confidence: HighVerified: 2026-06-05

NII Large Language Model Research and Development Center

国立情報学研究所大規模言語モデル研究開発センター

Japan

Research GroupTier 1

Key Japanese public node for technical LLM safety, with a Safety WG and safety symposiums.

Technical AlignmentEvaluation

Confidence: HighVerified: 2026-06-06

LLM-jp Safety Working Group

LLM-jp 安全性ワーキンググループ

Japan

Working GroupTier 1

Public safety working group inside Japan’s open LLM ecosystem, visible through NII and LLM-jp resources.

Technical AlignmentEvaluation

Confidence: HighVerified: 2026-06-06

Responsible AI Team at SB Intuitions

Responsible AI チーム

Japan

Research GroupTier 1

Corporate technical-safety team with public Japanese benchmarks for safety-boundary testing and guardrails.

EvaluationRed TeamingModel Security

Confidence: HighVerified: 2026-06-06

RIKEN AIP Natural Language Understanding Team

理研AIP 自然言語理解チーム

Japan

Research GroupTier 2

Relevant mainly through public interpretability and trustworthy-foundation framing plus adjacent Japanese LLM safety dataset work. This row remains medium-confidence and is not labeled as a core frontier AI safety lab.

Technical Alignment

Confidence: MediumVerified: 2026-06-06

Open questions

Need public repository-level mapping for more LLM-jp Safety WG outputs.
Need more direct frontier-model safety outputs from RIKEN NLU specifically.