Official code of "StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis" (CVPR 2022)
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Jul 31, 2022 - Python
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ai-fairness
Here are 17 public repositories matching this topic...
Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)
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Oct 11, 2021 - Python
Introduction to trusted AI. Learn to use fairness algorithms to reduce and mitigate bias in data and models with aif360 and explain models with aix360
python data-science machine-learning jupyter-notebooks watson-studio aif360 aix360 ai-fairness bias-metrics fairness-algorithms ai-explainability bias-measurement
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Dec 14, 2020 - Jupyter Notebook
Demographic bias in misdiagnosis by computational pathology models - Nature Medicine
tcga-data fairness digital-pathology computational-pathology ai-health ai-fairness bias-fairness-metrics ai4health health-disparities ebrains demographic-bias pathology-bias ai4health-bias algorithimic-fairness pathology-disparities ai-bias-testing quantitative-pathology
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Apr 29, 2024 - Python
Notes, references and materials on AI Fairness that I found useful and helped me in my academic research.
machine-learning research artificial-intelligence reading-list papers fairness fairness-ml ai-fairness
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May 30, 2025
FairWell is a Responsible AI tool developed using Streamlit
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Nov 3, 2021 - Jupyter Notebook
Fairness in data, and machine learning algorithms is critical to building safe and responsible AI systems from the ground up by design. Both technical and business AI stakeholders are in constant pursuit of fairness to ensure they meaningfully address problems like AI bias. While accuracy is one metric for evaluating the accuracy of a machine le…
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Oct 11, 2021
This repository contains the dataset and code used in our paper, “MENA Values Benchmark: Evaluating Cultural Alignment and Multilingual Bias in Large Language Models.” It provides tools to evaluate how large language models represent Middle Eastern and North African cultural values across 16 countries, multiple languages, and perspectives.
ai-alignment ai-fairness multilingual-nlp nlp-evaluation cultural-ai mena-region token-level-analysis
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Jun 3, 2025 - Python
Fairness Analysis in US Mortgage Lending with Machine Learning Algorithms
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Dec 22, 2024 - Jupyter Notebook
Here we deal with the issue of fairness in machine learning classification algorithm and we try to exploit regularization technique to attain fairness.
machine-learning scikit-learn pytorch classification regularization implementation-of-research-paper fairness-ml ai-fairness
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Nov 15, 2022 - Jupyter Notebook
Sample project using IBM's AI Fairness 360 is an open source toolkit for determining, examining, and mitigating discrimination and bias in machine learning (ML) models throughout the AI application lifecycle.
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Oct 31, 2021
A benchmark of the different word embedding techniques on fairness and bias in AI models
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Apr 28, 2021 - Jupyter Notebook
A project on bias detection in transformer-based LLMs, with a weakly supervised approach.
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Jul 10, 2024 - Python
A model card inspired by Derman & Wilmott's "Modelers' Hippocratic Oath", adapted for responsible and nuanced ML.
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Jul 3, 2022
Deep-Learning approach for generating Fair and Accurate Input Representation for crime rate estimation in continuous protected attributes and continuous targets.
machine-learning ai mit deep-learning keras artificial-intelligence machine-learning-fairness ml-fairness ai-fairness ml-in-crime custom-loss custom-loss-functions mit-dlab
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Dec 18, 2019 - Jupyter Notebook
Explainability of AI models is a difficult task which is made simpler by Cortex Certifai. It evaluates AI models for robustness, fairn 6D92 ess, and explainability, and allows users to compare different models or model versions for these qualities. Certifai can be applied to any black-box model including machine learning models, predictive models and …
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Oct 28, 2021 - Jupyter Notebook
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