fairness-algorithms

Introduction to trusted AI. Learn to use fairness algorithms to reduce and mitigate bias in data and models with aif360 and explain models with aix360

Simulator of experiments presented in "Enabling Long-term Fairness in Dynamic Resource Allocation", ACM SIGMETRICS 2023.

Algorithmic inspection for trustworthy ML models

Most Valuable Project Winner at ETH Planet 2020 Hackathon. Probabilistic Proofs and Coherent Cryptoeconomics for Decentralised Finance Fairness Architectures

QuantaFlow is a tiny, deterministic limiter that turns fractional per-tenant budgets into integer tokens with a provable bound on every sliding window.

Source code for the BRACIS 2026 project: [ From Bias to Fairness: Can Synthetic Data Bridge the Gap in Tabular Machine Learning? ]