Ai Ethics

awful-ai

A curated list tracking current scary and unethical uses of AI to raise awareness of its societal misuses.

Awesome Machine Learning Interpretability

A curated list of practical resources for responsible machine learning, covering interpretability, governance, safety, and ethics.

AI Fairness 360Python

An extensible open-source toolkit for detecting, mitigating, and explaining bias in machine learning datasets and models.

Awesome Explainable AIMarkdown

A curated collection of research papers, books, courses, and Python libraries for explainable AI (XAI) and machine learning interpretability.

the ethics of ML

A curated collection of AI guidelines, principles, ethics frameworks, regulations, and practical tools for responsible AI development.

aequitasPython

An open-source toolkit for auditing bias and experimenting with fairness methods in machine learning models.

Awesome Fairness in AI

A curated list of resources for understanding, measuring, and mitigating fairness issues in artificial intelligence and machine learning systems.

XAI

A curated collection of papers, methods, critiques, and resources for Explainable AI (XAI) and Interpretable Machine Learning.

LiFTScala

A Scala/Spark library for measuring fairness and mitigating bias in large-scale machine learning workflows.

Audit Algorithms

A curated list of algorithms and academic papers for auditing black-box algorithms like recommendation systems and classifiers.

REVISE: REvealing VIsual biaSEsJupyter Notebook

A tool for automatically detecting and suggesting mitigation for object, attribute, and geography-based biases in visual datasets.