MIHR - Machine Intelligence Human Ratio
MIHR establishes a global standard for AI transparency by classifying where AI operates, how it works, and how independently it makes decisions. The framework provides granular disclosure records that help organizations isolate legal risk and prepare for compliance with regulations like the EU AI Act. It addresses the trust gap created by vague "we use AI" statements, which 85% of consumers say erodes their confidence in brands.
- Regulatory & Compliance Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
Vague AI disclosure creates real problems for organizations and consumers alike. People have no idea which systems, features, or decisions are powered by AI, creating confusion, fear, and distrust. The technology, model type, and function behind every AI system remain hidden, and the critical question—how independently does AI make decisions?—is never answered, leaving human vs. machine authority invisible.
Solution
MIHR establishes a new global standard for knowing where AI operates, how it works, and how independently it makes decisions. The framework resolves ambiguity across three dimensions of trust: Where (functional business area), How (technology and function), and Extent (level of autonomy). By providing granular AI disclosure records, MIHR enables organizations to isolate and defend against mounting legal risk while giving consumers the transparency they demand. The standard aligns with the evolving AI regulatory timeline, including the EU AI Act and related transparency codes, helping organizations prepare for compliance obligations.
Target Audience
Primary customers are organizations deploying AI systems that face regulatory compliance obligations, legal risk exposure, or consumer trust challenges, particularly those operating under the EU AI Act and related global AI regulations.
Features
- Three-dimensional transparency framework covering Where (functional business area), How (technology and function), and Extent (level of autonomy)
- Granular AI disclosure records that allow organizations to isolate and defend against legal risk
- Alignment with the EU AI Act timeline, including GPAI obligations, AI transparency codes, and watermark-detection interoperability requirements
- Standardized approach to answering whether AI or human authority governs specific decisions
- Framework designed to support global harmonization across countries with pending or active AI regulation