ai-fairness

Official code for the Manning book on structural LLM optimization: depth/width pruning, knowledge distillation, and attention optimization, runnable on free Colab GPUs.

Auditing algorithmic bias in criminal justice, hiring, lending, healthcare, welfare, and tenant screening: 7 open-source audits, measurable fairness gaps, and concrete fixes.

Official code of "StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis" (CVPR 2022)

Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)

Demographic bias in misdiagnosis by computational pathology models - Nature Medicine

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

🥉 3rd Place Hackathon Winner | Solo-built AI platform for detecting, explaining, and mitigating bias in machine learning systems.

Ethical AI Governance Platform | Bias Detection | Compliance | Fairness Testing for ML, LLM & Multimodal AI | Open Source

Enterprise LLM Evaluation & Responsible AI Framework — Benchmark bias, hallucination, PII leakage, and toxicity across Healthcare, BFSI, Retail & Legal industries. Supports OpenAI, Anthropic, Gemini & HuggingFace. Python SDK + CLI + Web Dashboard. 191 tests. Compliance-ready reports.

Notes, references and materials on AI Fairness that I found useful and helped me in my academic research.

Find out the mother tongue of your LLM. How tokenizers work accross languages

FairWell is a Responsible AI tool developed using Streamlit

Fairness in data, and machine learning algorithms is critical to building safe and responsible AI systems from the ground up by design. Both technical and business AI stakeholders are in constant pursuit of fairness to ensure they meaningfully address problems like AI bias. While accuracy is one metric for evaluating the accuracy of a machine le…

This repository contains the dataset and code used in our paper, “I Am Aligned, But With Whom? Diagnosing Structural Alignment Failures in Multilingual LLMs” It provides tools to evaluate how LLMs represent cultural values across 16 countries, multiple languages, and perspectives.

⚖️ AI Fairness Training Gym — Detect, Measure, Fix & Explain bias in AI models using RL (PPO) + Gemini AI | Google Solution Challenge 2026

Practical playbooks for AI/ML teams to detect and correct bias, assessment, root cause analysis, fairness metrics, and pre/in/post-processing interventions. Covers classical ML with EU AI Act, GDPR, ECOA, and HIPAA references.

Research toolkit for identifying and mitigating social biases in code-generation LLMs — evaluates AI fairness across banking, healthcare, and software engineering domains.

Arabic Costs Double on AI — why every Arabic-script language (Darija, MSA, Persian, Urdu) pays a 2x token tax on ChatGPT, Claude & Gemini.

Here we deal with the issue of fairness in machine learning classification algorithm and we try to exploit regularization technique to attain fairness.

FairTutor: Equity-Aware Pedagogical LLM Routing for Budget-Constrained AI Tutoring