The AI Fairness 360 toolkit is an extensible open-source library containing techniques developed by the research community to help detect and mitigate bias in machine learning models throughout the AI …

6 days ago · A deep exploration of Algorithmic Empathy, the next frontier in AI understanding. This project examines how machines can learn from human fallibility, model disagreement, and align with …

While ML algorithms are deployed in a wide variety of applications, this tool is specifically designed for algorithms that assist in decision-making processes. In particular, this tool is useful when algorithmic …

This repository contains Python code and data collection instructions for a technical report: "A computational analysis of potential algorithmic bias on platform X during the 2024 US election" …

How can we quantitatively measure and mitigate algorithmic bias? The tutorial will focus on communicating real-world experience on assessing fairness throughout the machine learning model …

Project Structure (coming soon) ... Built by a CS student who had no idea algorithmic bias existed until one book changed that. Now building the tool that gives everyone else that same moment.

The AI Fairness 360 toolkit is an extensible open-source library containing techniques developed by the research community to help detect and mitigate bias in machine learning models throughout the AI …

Algorithmic Bias in Dynamic Pricing — A Business Analytics Investigation into Fairness, Profit Optimisation, and Consumer Trust - Bikesh55/Dissertation

Algorithmic Fairness in Machine Learning IEEE-style research paper investigating bias and fairness across four real-world ML classification tasks. Analyses how demographic disparities manifest in …

🔍 FairLens — AI Bias Audit Platform Detect, explain, and mitigate algorithmic bias in your datasets — powered by SHAP explainability and industry-standard fairness metrics.