FAI3 Wins Top Spot in ICP EU Hackathon’s AI Track: Bringing Transparency to AI

FAI3, a team committed to building trust in AI through transparency and fairness, has emerged as the winner of the AI track at the ICP EU Hackathon. The recognition is more than a win—it’s a signal that the world is ready for a new approach to AI, where trust is built into every line of code and every data set.

Tackling the Problem of Trust in AI

For most users, AI is a black box—complex, inaccessible, and often untrustworthy. FAI3 is flipping the script. Their solution offers a way to certify AI models for fairness, accuracy, and transparency using blockchain. This isn’t about adding another layer of tech for the sake of it—it’s about making sure that people can trust the models influencing critical sectors like finance and healthcare.

How It Works: From Submission to the Leaderboard

FAI3’s platform starts with a simple process: developers submit their model’s code, weights, and data. The team uses zero-knowledge proofs to ensure that everything runs as claimed. Then, scores are calculated and recorded on the blockchain, making the entire evaluation process visible and auditable. Users receive a report detailing metrics like fairness, data quality, and potential areas for improvement.

The real kicker? All this information is public. FAI3’s leaderboard allows anyone to see how a model stacks up, from its accuracy to its treatment of sensitive demographic data. It’s a transparent way to evaluate AI, helping users make informed choices and developers refine their models.

Why It Matters: Fairness Isn’t Just a Buzzword

From ensuring equal opportunities in lending to minimizing bias in hiring algorithms, FAI3’s work touches on real-world issues. They go beyond merely balancing datasets—addressing deeper issues like systemic biases and intersectionality that can slip through the cracks. Their approach isn’t just about building better models; it’s about creating AI systems that actually serve the people using them.

About FAI3

FAI3 is a team of researchers, developers, and AI experts committed to making AI more transparent, fair, and trustworthy. By using blockchain to certify AI models for fairness, accuracy, and data quality, FAI3 provides a clear and auditable way for users and developers to trust the technology they rely on. Their mission is to empower people with the tools to evaluate and improve AI, ensuring that these systems are accountable and inclusive.

The team includes Viviana Siless, Ph.D., a seasoned AI researcher with experience from UBA to Harvard, and Emmanuel Iarussi, Ph.D., a computer science expert who’s driven to bring ethical AI into the mainstream. Together with a talented lineup of web3 developers, data scientists, and designers, they’re pushing the boundaries of what AI accountability can look like.

For more about FAI3 and their mission, visit fai3.network.

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