{"repo":"mever-team/FairBench","free":true,"listed":false,"github":"https://github.com/mever-team/FairBench","clone":"git clone https://github.com/mever-team/FairBench.git","description":"Comprehensive AI fairness exploration.","language":"Jupyter Notebook","stars":23,"topics":["ai","fairness","framework","metrics","python","reporting","visualization"],"license":null,"category":"analytics","readme_excerpt":"FairBench This software is part of MAI-BIAS; a low-code toolkit for fairness analysis and mitigation, with an accompanying suite of coding tools. Our ecosystem operates in multidimensional and multi-attribute settings (safeguarding multiple races, genders, etc), and across multiple data modalities (like tabular data, images, text, graphs). Learn more here. 👥 Who is this for? - ML engineers and data scientists building or evaluating models in Python. - Researchers studying AI bias across data modalities (tabular, vision, LLMs, etc). - Bias auditors and compliance teams needing standardized, traceable fairness reports, and system comparison across different datasets, parameters, and over time. - Policymakers and analysts who want reproducible evidence for decision‑making. Consider using the low‑code MAI‑BIAS toolkit for a higher level perspective. One workflow for deployed real-world system is to use FairBench to identify prospective biases, gather stakeholder feedback on which of those biases are important, and then tracking standalone measures over time, with periodic re-evaluation of which are important. ✨ About FairBench can be imported in Python AI projects to offer standardized exploration of more than 300 fairness metrics. It also produces reports that organize many of those metrics, and which can be viewed in various formats (e.g., in the terminal, in the browser) as part of ongoing reporting by developers, auditors, and eventually policymakers with a certain degree of","default_branch":null,"files":null,"tree":[],"storefront":"/r/mever-team","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/mever-team/FairBench/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}