AI Governance & Safety Intelligence

Provides comprehensive analysis and comparison of global AI regulations, safety incidents, model evaluations, standards, and international governance for pol...

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]

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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）