Usage Data

Usage data refers to information collected about how AI systems, applications, and services are being accessed and utilized within an organization, including metrics like frequency of use, user interactions, processing volumes, and feature adoption. For AI governance, usage data is critical because it enables organizations to monitor actual system behavior in production, identify potential misuse or drift from intended purposes, and ensure accountability through comprehensive audit trails. This information directly supports compliance efforts by providing evidence of appropriate deployment and control effectiveness.

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ResearchGlobal2026-08-18

Vendor AI Usage Reports Systematically Filter Harmful Behavior, Study Finds

An independent research platform called the AI Observatory, led by researchers from Stanford and MIT, analyzed over 24,000 real AI conversations and found that usage reports published by major AI companies systematically exclude non-work-related interactions. The omission conceals materially higher rates of sensitive behaviors including harassment, hate speech, and adult content. Enterprise compliance programs that rely on vendor-published data for risk assessments are working from a structurally incomplete picture.

Anthropic OpenAI AI transparency usage data independent audit vendor risk risk assessment third-party AI