bias-detection

There are 118 repositories under bias-detection topic.

  • Trusted-AI/AIF360

    A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

    Language:Python2.3k90247817
  • awesome-open-data-centric-ai

    Renumics/awesome-open-data-centric-ai

    Curated list of open source tooling for data-centric AI on unstructured data.

    68018236

  • amanchadha/coursera-gan-specialization

    Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

    Language:Jupyter Notebook40862290

  • dccuchile/wefe

    WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

    Language:Python17162215
  • Open-Sentencing

    Call-for-Code-for-Racial-Justice/Open-Sentencing

    To help public defenders better serve their clients, Open Sentencing shows racial bias in data such as demographics providing insights for each case

    73124718

  • honghanhh/coursera-practical-data-science-specialization

    Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)

    Language:Jupyter Notebook562244

  • YujiaBao/ls

    Learning to Split for Automatic Bias Detection

    Language:Python46215

  • mlr-org/mcboost

    Multi-Calibration & Multi-Accuracy Boosting for R

    Language:R295364

  • gesistsa/sweater

    👚 Speedy Word Embedding Association Test & Extras using R

    Language:R274324
  • HonestyMeter

    BetterForAll/HonestyMeter

    HonestyMeter: An NLP-powered framework for evaluating objectivity and bias in media content, detecting manipulative techniques, and providing actionable feedback.

    Language:JavaScript253331

  • AndreFCruz/bias-detection

    Detection of propaganda or partisan allegiance in natural text.

    Language:Jupyter Notebook23305

  • zhihengli-UR/DebiAN

    Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)

    Language:Python23203

  • lorentzenchr/model-diagnostics

    Tools for diagnostics and assessment of (machine learning) models

    Language:Python212354

  • SonyResearch/apparent_skincolor

    "Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color" (ICCV 2023)

    Language:Python21121

  • monk1337/Awesome-Robust-Machine-Learning

    A curated list of Robust Machine Learning papers/articles and recent advancements.

    19100

  • valeria-io/bias-in-credit-models

    Examples of unfairness detection for a classification-based credit model

    Language:Jupyter Notebook19103

  • zhihengli-UR/discover_unknown_biases

    Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)

    Language:Python19101

  • umanlp/RedditBias

    Code & Data for the paper "RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models"

    Language:Python18105

  • maxdreyer/Reveal2Revise

    Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.

    Language:Python17120

  • krangelie/bias-in-german-nlg

    Master thesis: Exploring bias in German NLG (GPT-3 & GerPT-2). Applies regard classification and bias mitigation triggers.

    Language:Jupyter Notebook14301

  • minnesotanlp/cobbler

    Code and data for ACL ARR 2024 paper "Benchmarking Cognitive Biases in Large Language Models as Evaluators"

    Language:Jupyter Notebook13201

  • name-ethnicity-classifier/name-ethnicity-classifier

    This repository contains a console-interface name-ethnicity classifier

    Language:Python13002

  • YujiaBao/tofu

    "Learning Stable Classifiers by Transferring Unstable Features" ICML 2022

    Language:Python13204

  • IQTLabs/daisybell

    Scan your AI/ML models for problems before you put them into production.

    Language:Python12247
  • investigation-google-keyword-planner

    the-markup/investigation-google-keyword-planner

    Materials to reproduce findings in our story, "Google Ad Portal Equated 'Black Girls' With Porn"

    Language:HTML11302

  • iPieter/biased-rulers

    A survey of fairness in contextualized language models

    Language:Jupyter Notebook9210

  • AndreFCruz/semeval2019-hyperpartisan-news

    Our submission to the SemEval2019 shared task on Hyperpartisan News Detection.

    Language:Python8302

  • jklu-jaipur/Political-Biasness-Detection

    Our ML model calculates the biasness of a political article based on linguistic features and classifies them as biased towards the ruling government, bias towards the opposition, or neutral.

    Language:Jupyter Notebook8123

  • andrewimpellitteri/llm_poli_compass

    A program to automate testing open source LLMs for their political compass scores

    Language:Python713

  • melisale17/beautiful-data-

    Find here the analysis of the data for the experiment when an unconscious preference is happening in real time

    Language:Jupyter Notebook7202

  • LSLeClercq/ABCal

    Author Bias Computation and Scientometric Plotting

    Language:Python6100

  • monk1337/Awesome-Distribution-Shift

    A curated list of Distribution Shift papers/articles and recent advancements.

    610

  • aliciapj/xai-genz

    Explainable AI & fashion talk & experiments

    Language:Jupyter Notebook5200

  • jaddoughman/Gender-Bias-Datasets-Lexicons

    Language has a profound impact on our thoughts, perceptions, and conceptions of gender roles. Gender-inclusive language is, therefore, a key tool to promote social inclusion and contribute to achieving gender equality. Consequently, detecting and mitigating gender bias in texts is instrumental in halting its propagation and societal implications. However, there is a lack of gender bias datasets and lexicons for automating the detection of gender bias using supervised and unsupervised machine learning (ML) and natural language processing (NLP) techniques. Therefore, the main contribution of this work is to publicly provide labeled datasets and exhaustive lexicons by collecting, annotating, and augmenting relevant sentences to facilitate the detection of gender bias in English text. Towards this end, we present an updated version of our previously proposed taxonomy by re-formalizing its structure, adding a new bias type, and mapping each bias subtype to an appropriate detection methodology. The released datasets and lexicons span multiple bias subtypes including: Generic He, Generic She, Explicit Marking of Sex, and Gendered Neologisms. We leveraged the use of word embedding models to further augment the collected lexicons. The underlying motivation of our work is to enable the technical community to combat gender bias in text and halt its propagation using ML and NLP techniques.

    5100

  • ritika-0111/Bias-Toxic-Classification

    Bert Classification on Jigsaw Data with Gender as a basic genre, followed by identifying Bias in Toxic Classification.

    Language:Jupyter Notebook4100

  • ritvik-iyer/fiat-lux

    Ever wondered if you could identify the media outlet which published an article based on text alone? Fiat Lux will answer these questions and more!

    Language:Jupyter Notebook4100