awesome-fairness-in-ai

Fairness resource

A curated list of resources on fairness in AI to help build unbiased machine learning systems.

A curated list of awesome Fairness in AI resources

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aibiasdeep-learningfairnessgender-biasinterpretabilitymachine-learningxai

Awesome-Fairness-in-AI / Review and General Papers
Fairness in Deep Learning: A Computational Perspective
The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning
Fairness and machine learning
A Survey on Bias and Fairness in Machine Learning
The Frontiers of Fairness in Machine Learning
Ensuring fairness in machine learning to advance health equity
Mitigating Gender Bias in Natural Language Processing: Literature Review
Fairness in Recommender Systems
Implementations in Machine Ethics: A Survey

Awesome-Fairness-in-AI / Measurements of Fairness
On Formalizing Fairness in Prediction with Machine Learning
Equality of Opportunity in Supervised Learning
Certifying and removing disparate impact
Does mitigating ML's impact disparity require treatment disparity?
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements
Beyond Parity: Fairness Objectives for Collaborative Filtering
50 Years of Test (Un)fairness: Lessons for Machine Learning
Fairness Definitions Explained
Algorithmic Fairness
Bias in data‐driven artificial intelligence systems—An introductory survey
Fairness is not Static: Deeper Understanding of Long Term Fairness via Simulation Studies 314 almost 2 years ago
Delayed Impact of Fair Machine Learning

Awesome-Fairness-in-AI / Demonstration of Bias Phemomenon in Various Applications / Bias in Machine Learning Models
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
Deep Learning for Face Recognition: Pride or Prejudiced?
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
Demographic Dialectal Variation in Social Media: A Case Study of African-American English
Feature-Wise Bias Amplification
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases

Awesome-Fairness-in-AI / Demonstration of Bias Phemomenon in Various Applications / Bias in Representations
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Gender Bias in Contextualized Word Embeddings
Assessing Social and Intersectional Biases in Contextualized Word Representations

Awesome-Fairness-in-AI / Mitigation of Unfairness / Mitigation of Machine Learning Models
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
Mitigating Unwanted Biases with Adversarial Learning
Adversarial Removal of Demographic Attributes from Text Data
Compositional Fairness Constraints for Graph Embeddings
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Equality of Opportunity in Supervised Learning
Mitigating Gender Bias in Captioning Systems
Incorporating priors with feature attribution on text classification
Women Also Snowboard: Overcoming Bias in Captioning Models
Learning Credible Deep Neural Networks with Rationale Regularization
Why Is My Classifier Discriminatory?
Incorporating Dialectal Variability for Socially Equitable Language Identification
REPAIR: Removing Representation Bias by Dataset Resampling
Mitigating Bias in Gender, Age and Ethnicity Classification: a Multi-Task Convolution Neural Network Approach
InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity
Reducing Gender Bias in Abusive Language Detection
Fairness-aware Learning through Regularization Approach
Fairness Constraints: Mechanisms for Fair Classification
Penalizing Unfairness in Binary Classification
Fairness Constraints:A Flexible Approach for Fair Classification
A General Framework for Fair Regression
Fair Regression: Quantitative Definitions and Reduction-based Algorithms

Awesome-Fairness-in-AI / Mitigation of Unfairness / Mitigation of Representations
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Learning Gender-Neutral Word Embeddings
Flexibly Fair Representation Learning by Disentanglement
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings

Awesome-Fairness-in-AI / Fairness Packages and Frameworks
AI Fairness 360 2,483 about 2 months ago
fairlearn: Fairness in machine learning mitigation algorithms 1,974 about 1 month ago
algofairness

Awesome-Fairness-in-AI / Fairness Packages and Frameworks / algofairness
fairness: Benchmarking of fairness aware machine learning algorithms 159 about 2 years ago

Awesome-Fairness-in-AI / Fairness Packages and Frameworks
FairSight: Visual Analytics for Fairness in Decision Making 25 about 2 years ago
GD-IQ: Spellcheck for Bias (code not available)
aequitas: Bias and Fairness Audit Toolkit 701 5 months ago
CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models
ML-fairness-gym: Google's implementation based on OpenAI's Gym 314 almost 2 years ago
fairness-indicators: Tensorflow's Fairness Evaluation and Visualization Toolkit 343 about 2 months ago
scikit-fairness 29 almost 4 years ago
Mitigating Gender Bias In Captioning System 13 almost 4 years ago

Awesome-Fairness-in-AI / Conferences
FAT*: ACM Conference on Fairness, Accountability, and Transparency
FATML: Fairness, Accountability, and Transparency in Machine Learning Workshop
AIES: AAAI/ACM Conference on AI, Ethics, and Society

Awesome-Fairness-in-AI / Other Fairness Relevant Interpretability Resources
Awesome machine learning interpretability resources 3,687 about 2 months ago
The Mythos of Model Interpretability
Towards A Rigorous Science of Interpretable Machine Learning
Techniques for Interpretable Machine Learning
Methods for Interpreting and Understanding Deep Neural Networks

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