Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-fairness-in-ai
A curated list of awesome Fairness in AI resources
https://github.com/datamllab/awesome-fairness-in-ai
- 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
- 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
- Delayed Impact of Fair Machine Learning
- 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
- 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
- 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
- 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
- AI Fairness 360
- fairlearn: Fairness in machine learning mitigation algorithms
- algofairness
- fairness: Benchmarking of fairness aware machine learning algorithms
- FairSight: Visual Analytics for Fairness in Decision Making
- GD-IQ: Spellcheck for Bias (code not available)
- aequitas: Bias and Fairness Audit Toolkit
- 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
- fairness-indicators: Tensorflow's Fairness Evaluation and Visualization Toolkit
- scikit-fairness
- Mitigating Gender Bias In Captioning System
- 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 machine learning interpretability resources
- 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
Programming Languages
Keywords
fairness
4
machine-learning
3
python
2
r
2
fairness-testing
2
bias
2
fairness-ml
2
fairness-ai
2
artificial-intelligence
2
ai
2
awesome-list
1
awesome
1
data-science
1
ai-safety
1
tensorflow
1
fairness-indicators
1
explainable-ml
1
machine-bias
1
unfairness-mitigation
1
responsible-ai
1
harms
1
group-fairness
1
fairness-assessment
1
ai-systems
1
trusted-ai
1
ibm-research-ai
1
ibm-research
1
fairness-awareness-model
1
discrimination
1
deep-learning
1
codait
1
bias-reduction
1
bias-finder
1
bias-detection
1
bias-correction
1
xai
1
transparency
1
secure-ml
1
reliable-ai
1
privacy-preserving-machine-learning
1
privacy-enhancing-technologies
1
machine-learning-interpretability
1
interpretable-ml
1
interpretable-machine-learning
1
interpretable-ai
1
interpretability
1