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A curated list of awesome Fairness in AI resources

The Infosys Responsible AI toolkit incorporates various features including safety, security, explainability, fairness, bias and hallucination detection to ensure AI solutions are trustworthy and transparent.

MIT Introduction to Deep Learning (6.S191) Instructors: Alexander Amini and Ava Soleimany Course Information Summary Prerequisites Schedule Lectures Labs, Final Projects, Grading, and Prizes Software labs Gather.Town lab + Office Hour sessions Final project Paper Review Project Proposal Presentat... Read more

All about explainable AI, algorithmic fairness and more

Detecting Bias and ensuring Fairness in AI solutions

We introduce AI-Face, the first million-scale AI-generated face dataset with demographic annotations, and conduct a comprehensive fairness benchmark. Our work has been accepted at CVPR 2025.

An ANN is a model based on a collection of connected units or nodes called "artificial neurons", which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit information, a "signal", from one artificial neuron to another. An artific... Read more

Oracle Guardian AI Open Source Project is a library consisting of tools to assess fairness/bias and privacy of machine learning models and data sets.

A demonstration of the AI Fairness 360 toolbox for bias metrics, explanations, and remediation. Code Pattern: https://developer.ibm.com/patterns/ensuring-fairness-when-processing-loan-applications

This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accountability, Confidentiality, and Transparency (FACT). These were implemented as part of the FACT-AI course at the University of Amsterdam.