Frequently Asked Questions

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.