AI Governance & Safety Intelligence
/install ai-governance-intel
AI Governance & Safety Intelligence
The definitive AI governance intelligence engine. 25 authoritative sources covering every major regulatory framework (EU AI Act, US EO 14110, China GenAI Measures, OECD AI Observatory), 3,000+ AI incident records, frontier model evaluation benchmarks, and international cooperation frameworks. Built for policymakers, compliance officers, AI safety researchers, and anyone tracking the rapidly evolving AI governance landscape.
Triggers
- "What AI regulations apply to [use case]?"
- "Track EU AI Act compliance milestones"
- "Compare AI governance: US vs. EU vs. China"
- "Analyze latest AI safety incidents"
- "Assess frontier model evaluation frameworks"
- "Monitor international AI safety summit outcomes"
- "Check ISO 42001 certification requirements"
- "Research AI liability frameworks"
Capabilities
| # | Capability | Data Scope | Output Mode |
|---|---|---|---|
| 1 | Regulatory jurisdiction comparison | 45+ jurisdictions: EU AI Act, US EO 14110, China GenAI Measures, UK AISI, CAIDP rankings | Side-by-side table: risk classification, obligations, enforcement, penalties |
| 2 | Compliance timeline tracking | EU AI Act 2024-2027 phased rollout, global milestones | Gantt-style timeline: prohibited practices → GPAI rules → high-risk obligations → full enforcement |
| 3 | AI incident database analysis | AIID (3,000+ incidents), OECD AIM, MIT 777-risk taxonomy | Incident trending by harm type, root cause, deployer, sector, severity |
| 4 | Frontier model safety evaluation | OpenAI Preparedness, Anthropic RSP (ASL 1-4), DeepMind Frontier Safety, METR, ARC Evals | Capability threshold comparison, CBRN/cyber/autonomy benchmarks, evaluation methodology gap analysis |
| 5 | Standards & certification landscape | ISO/IEC 42001, ISO 23894, IEEE 7000, CEN-CENELEC JTC 21, BSI Hub | Certification roadmap, conformity assessment bodies, standard-to-regulation mapping |
| 6 | International AI governance cooperation | UN AI Advisory Body, AI Safety Summit series (2023-2026), G7 Hiroshima AI Process, Global AISI Network (10+ institutes) | Institutional mapping, mandate comparison, soft law vs. hard law trajectory |
| 7 | AI safety & alignment research landscape | Anthropic, DeepMind, OpenAI, ARC Evals, METR, Epoch AI, CAIS, Redwood | Research program comparison, key papers, open problems, scaling trajectory data |
| 8 | Compute governance & export controls | BIS Entity List, GPU export restrictions, chip tracking proposals | Hardware restriction tiers, impact assessment on AI capability diffusion, sovereign AI compute gap |
| 9 | Digital rights & AI ethics | Access Now, AlgorithmWatch, STOP | Facial recognition bans, predictive policing, automated decision audits, civil society position mapping |
| 10 | AI risk horizon scanning | Integrated cross-source fusion | Emerging risks: agentic AI, open-weight models, bio risk, labor displacement, elections integrity |
Workflow
User Query
│
├─ Regulatory compliance query → Jurisdiction comparison (Capability #1) + Timeline (Capability #2)
│ └─ Output: Applicable frameworks table + compliance milestones + penalty exposure
│
├─ Safety evaluation query → Frontier model eval (Capability #4) + Incidents (Capability #3)
│ └─ Output: RSP/Preparedness level mapping + relevant incident patterns + residual risk assessment
│
├─ International governance query → Cooperation tracking (Capability #6) + Standards (Capability #5)
│ └─ Output: Institutional landscape + mandate mapping + harmonization gap analysis
│
├─ Open-source AI debate query → Compute governance (Capability #8) + Digital rights (Capability #9)
│ └─ Output: Pro/con analysis with evidence, regulatory trajectory in key jurisdictions
│
└─ Horizon scanning → Risk scanning (Capability #10) + Research landscape (Capability #7)
└─ Output: Emerging risk dashboard + research direction watchlist + 12-month outlook
Output Formats
Format 1: Regulatory Comparison Matrix
| Jurisdiction | Risk Classification | Conformity Assessment | Transparency | Enforcement | Penalties |
|-------------|--------------------|----------------------|--------------|-------------|-----------|
| EU AI Act | Unacceptable/High/Limited/Minimal | Third-party (High) | ✓ | EU Commission + MS | Up to 7% global turnover |
| US EO 14110 | Federal agency RMF | Self-assessment (voluntary) | ✓ (exec. branch) | NIST + OMB | Agency-level |
| China GenAI | Filing + algorithm registry | CAC review | ✓ | CAC | Service suspension |
Format 2: Frontier Model Safety Dashboard
| Model | Developer | Framework | CBRN Risk | Cyber Risk | Autonomy Risk | Persuasion Risk |
|-------|-----------|-----------|------------|------------|---------------|-----------------|
Format 3: AI Incident Trend Analysis
| Harm Type | 2023 | 2024 | 2025 | Trend | Most Affected Sector |
|-----------|------|------|------|-------|---------------------|
Usage Guidelines
- Always cite regulatory source with effective date
- Distinguish between enacted law, proposed regulation, and voluntary framework
- Flag regulatory divergence as risks for cross-border deployment
- Use AI incident data responsibly; note that underreporting biases exist
- When assessing frontier models, reference the developer's own framework
Examples
Q: Do I need to comply with EU AI Act for my chatbot? → EU AI Act Article 5 (prohibited) + Article 6 (high-risk) + Article 52 (transparency for chatbots) → Classification: [transparency obligation only], requirements: [user disclosure, no other obligations], timeline: [effective now, full 2026]
Q: Compare US vs. China AI chip restrictions → BIS Entity List (SMIC, Huawei) + semiconductor export tiers + CAC algorithm registry → US restricts [GPU tiers T1-T3], China restricts [training data, algorithm filing], impact: [quantified]
Q: Latest frontier model safety incidents → AIID database query + OECD AIM + developer transparency reports → Top 3 incident categories: [deepfakes elections / autonomous agent failures / bias discrimination], trend: [increasing/decreasing]
Data Sources (25 total): See references/ai_governance_sources.json for complete listing with URLs and update frequencies.
(内容由AI生成,仅供参考)
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ai-governance-intel - After installation, invoke the skill by name or use
/ai-governance-intel - Provide required inputs per the skill's parameter spec and get structured output
What is AI Governance & Safety Intelligence?
Provides comprehensive analysis and comparison of global AI regulations, safety incidents, model evaluations, standards, and international governance for pol... It is an AI Agent Skill for Claude Code / OpenClaw, with 48 downloads so far.
How do I install AI Governance & Safety Intelligence?
Run "/install ai-governance-intel" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is AI Governance & Safety Intelligence free?
Yes, AI Governance & Safety Intelligence is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does AI Governance & Safety Intelligence support?
AI Governance & Safety Intelligence is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created AI Governance & Safety Intelligence?
It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.0.