EU AI Act: High-risk obligations begin Aug 2026Check your compliance →

AI Pulse — The open reference for responsible AI in business

Track regulations, benchmark governance maturity, and disclose your AI practices — powered by open data from MIT, OECD, and the fruggr AI law database.

For governance teams
For analysts & researchers
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AI laws tracked globally
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Jurisdictions covered
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AI incidents catalogued
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Disclosures submitted

Why disclose your AI practices?

Join the companies shaping the standard for responsible AI transparency.

Prove compliance

Demonstrate alignment with the EU AI Act, NIST AI RMF, and ISO 42001 before obligations take effect.

Benchmark maturity

Compare your AI governance posture against industry peers with our A-F scoring system.

Build stakeholder trust

Signal responsibility to investors, customers, and regulators through public disclosure.

Trusted by

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AI incidents — a growing concern

1,700+ documented AI risks extracted from 65 frameworks, mapped across 7 domains and 12 industries.

MIT AI Risk Repository + OECD AIM
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Incidents documented
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Risk domains (MIT)
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New in 2024
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Year-over-year growth

Incidents by risk domain

Discrimination & Toxicity312
Privacy & Security248
Misinformation198
Malicious Actors & Misuse276
Human-Computer Interaction142
Socioeconomic & Environmental287
AI System Safety & Failures251

Most affected industries

Media & Social298
Government & Defence245
Financial Services218
Healthcare186
Autonomous Vehicles164
HR & Recruitment148
Education112

Why it matters — in numbers

Based on real-time data from our three open sources.

133 laws & regulations tracked

133
laws
In force
Under review

Source: Fruggr AI Law Database, 2026

Explore regulations

AI incidents on the rise

Reported incidents
Projected

Source: OECD AI Incidents Monitor (AIM), 2025

View all incidents

Built on open, trusted data

fruggr

Fruggr AI Law Database

133 laws & regulations tracked across 46 jurisdictions. Maintained by our governance team.

MIT AIID

MIT AI Risk Repository

1,700+ AI risks catalogued across 7 domains with causal taxonomy.

OECD

OECD AI Policy Observatory

National AI adoption indices and policy indicators across 80+ jurisdictions.

Need a full AI governance platform?

Fruggr helps enterprises register, monitor, and report on all AI systems — from risk classification to environmental impact.

Frequently asked questions

Everything you need to know about the AI Pulse Observatory and responsible AI governance.

AI governance is the set of policies, processes and controls that ensure AI systems are developed and used safely, ethically and in compliance with applicable laws. It matters now because organizations are deploying AI faster than they can manage it — from employee-facing tools like Copilot to customer-facing systems — while regulators in the EU, US and Canada are putting hard legal obligations in place.
Shadow AI refers to AI tools and systems used within an organization without the knowledge or approval of IT, Legal or Compliance teams. Research suggests that most organizations have 30–50% more AI in use than they officially know about — creating compliance gaps, data risks and carbon blind spots.
An AI Disclosure is a structured, public declaration of how your organization uses and governs AI — covering the number of AI systems deployed, the governance frameworks applied, and a brief policy statement. Any organization that builds, procures or deploys AI systems can and should submit one.
The EU AI Act is the world's first comprehensive AI regulation. It classifies AI systems into four risk tiers — unacceptable, high, limited and minimal — and imposes obligations proportional to that risk level. The main obligations for high-risk systems apply from August 2026.
Likely yes, in part. The EU AI Act applies to any organization whose AI systems are used by or affect people in the EU — similar to GDPR's extraterritorial scope. Beyond Europe, the US has its own emerging landscape: NYC Local Law 144, California's SB 53, and the federal NIST AI RMF. Canada's AIDA is progressing through Parliament.
TokenFlop is an open, physics-based computational model developed by Digital4Better that estimates the carbon footprint of AI systems. It converts FLOPs into GPU hours, then into energy consumption, and finally into CO2 equivalent — factoring in hardware type, datacenter PUE, energy mix by region, and manufacturing footprint.
Two reasons: regulatory and strategic. The EU's CSRD requires large companies to disclose environmental impacts from FY 2026, including digital and AI workloads. Strategically, organizations that measure AI carbon can make better infrastructure decisions and report credibly to sustainability-conscious investors and clients.
Yes, entirely free. AI Pulse Observatory is an open resource maintained by Fruggr. There is no paywall and no premium tier. The only gate is your professional email on the AI Disclosure form — to ensure submissions are linked to real organizations. Fruggr benefits through awareness: organizations that engage sometimes go on to explore the full governance platform.
Compliance means meeting specific external legal obligations (EU AI Act, NIST AI RMF, ISO 42001). Governance is the broader internal system — how your organization inventories, monitors, controls and improves its AI portfolio. Good governance makes compliance easier, but also delivers business value: reducing AI spend, surfacing ROI, managing risk, and building trust.