About FairAI
We help municipalities and public organizations measure fairness correctly — by comparing algorithms' choices with a human baseline. And we offer the tools needed to continuously monitor fairness and compliance, so you can focus on developing useful AI solutions for citizens and employees.
The Vision
We envision a Europe where every public institution can deploy AI systems with confidence, knowing they are fair, transparent, and compliant. By scaling our human-intelligence baseline methodology across EU member states, FairAI Monitor aims to become the standard for AI bias detection in public administration—ensuring that artificial intelligence truly serves all citizens equally.
Why Choose FairAI ?
Built on proven expertise, backed by research, and trusted by Europe's leading public institutions.
Funding from Innovation Fund Denmark in 2025
Selected for Denmark's prestigious Innofounder program, supporting the nation's most promising technology entrepreneurs.
Municipal AI Implementation
Hands-on experience as data scientist at Copenhagen Municipality, developing AI systems serving hundreds of thousands of citizens.
Academic Partnership
10+ years collaboration with Professor Robert Klemmensen at Lund University on cutting-edge AI fairness research.
Funding from Innovation Fund Denmark in 2025
The grant from Innovation Fund Denmark represents a significant validation of our AI fairness technology by Denmark's leading innovation authority. This competitive funding enables us to develop cutting-edge solutions that address the growing need for transparent and unbiased AI systems in public and private sectors.
450.000 DKK grant from Denmark's innovation agency for breakthrough AI fairness technology
12-month accelerator program with top-tier mentoring and industry connections
Rigorous selection process - chosen from hundreds of applications
Municipal AI Implementation
Our municipal experience provides unparalleled insight into real-world AI deployment challenges. Working directly with Copenhagen Municipality, we know how algorithmic bias can impact citizens' lives and are in the process of developing practical solutions that balance efficiency with fairness and transparency.
Many years of developing and deploying AI systems for the largest Danish municipality
Led the implementation and development of the generative AI platform serving all employees at the municipality of Copenhagen serving thousands of employees daily.
Helped draft compliance frameworks for both generative and machine learning models in the public sector
Research Collaboration
We collaborate with Aarhus University (led by Michael Bang Petersen) and Lund University (led by Robert Klemmensen) to:
establish baseline measurements of bias across relevant domains
develop a general method for bias assessment in generative models that anchors ML measurements in human attitudes and behavior (surveys, behavioral data, annotation studies)
test fairness metrics that can be applied directly in municipal and government solutions
Founder & CEO
Stig Hebbelstrup Rye Rasmussen, PhD
Stig's research bridges social science and AI research, having performed research using classical survey measurements of attitudes and behavior, as well as performed research using modern AI and machine learning text and image models. His work is published in PNAS (2024) and PNAS Nexus (2023) as well as leading social science journals such as Leadership Quarterly, British Journal of Political Science, and Social Psychological and Personality Science. See more on Google Scholar.
At Copenhagen Municipality, he led the setup of KK-GPT (the municipality's internal LLM for thousands of employees) and was cloud administrator on Scaleway, where he deployed Kubernetes infrastructure.
Stig is an Innofounder 2025 grant recipient and has built PrivacyPictures (iOS), an on-device app that "cloaks" faces against unauthorized recognition—a concrete example of privacy-by-design in production. PrivacyPictures.
Ready to Transform Municipal AI?
Join the growing network of European municipalities pioneering fair and compliant AI systems.
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