Topic: bias-detection Goto Github
Some thing interesting about bias-detection
Some thing interesting about bias-detection
bias-detection,Explainable AI & fashion talk & experiments
User: aliciapj
bias-detection,Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
User: amanchadha
bias-detection,Detection of propaganda or partisan allegiance in natural text.
User: andrefcruz
bias-detection,Our submission to the SemEval2019 shared task on Hyperpartisan News Detection.
User: andrefcruz
bias-detection,A program to automate testing open source LLMs for their political compass scores
User: andrewimpellitteri
bias-detection,analyzes police reports for bias crime
User: annajyang
bias-detection,HonestyMeter: An NLP-powered framework for evaluating objectivity and bias in media content, detecting manipulative techniques, and providing actionable feedback.
User: betterforall
Home Page: https://honestymeter.com
bias-detection,To help public defenders better serve their clients, Open Sentencing shows racial bias in data such as demographics providing insights for each case
Organization: call-for-code-for-racial-justice
bias-detection,Multivariate analysis and statistical modeling (with dimensional reduction) of NYC urban life pathologies
User: cbhihe
bias-detection,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!
Organization: dccuchile
Home Page: https://wefe.readthedocs.io/
bias-detection,
User: emmaling27
bias-detection,👚 Speedy Word Embedding Association Test & Extras using R
Organization: gesistsa
bias-detection,Analyzing and drawing insights from historical NYPD shooting incidents data.
User: hamna-moieez
bias-detection,Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)
User: honghanhh
bias-detection,A survey of fairness in contextualized language models
User: ipieter
bias-detection,Scan your AI/ML models for problems before you put them into production.
Organization: iqtlabs
bias-detection,Using open source NLP apis and sentiment analysis to create a bias detection web extension.
User: itsmesatwik
bias-detection,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.
User: jaddoughman
bias-detection,Scripts used for development of my Master's Thesis "Analyzing Twitter data to discover gender biases in Spanish politics" at Universitat Politècnica de Catalunya and Barcelona Institute of International Studies
User: javierbj
Home Page: http://hdl.handle.net/2117/121925
bias-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.
Organization: jklu-jaipur
bias-detection,Master thesis: Exploring bias in German NLG (GPT-3 & GerPT-2). Applies regard classification and bias mitigation triggers.
User: krangelie
bias-detection,Lexical Comparison Between News Mediums by Using Word Embeddings for Media Bias Identification
User: ladarudnitckaia
bias-detection,Tools for diagnostics and assessment of (machine learning) models
User: lorentzenchr
Home Page: https://lorentzenchr.github.io/model-diagnostics/
bias-detection,Author Bias Computation and Scientometric Plotting
User: lsleclercq
bias-detection,Are popular songs different from other songs? Does songs reflect bias prevelant in socities?
User: manashpratim
bias-detection,Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.
User: maxdreyer
Home Page: https://conferences.miccai.org/2023/papers/544-Paper2359.html
bias-detection,Find here the analysis of the data for the experiment when an unconscious preference is happening in real time
User: melisale17
bias-detection,
Organization: mind-lab
bias-detection,Code and data for ACL ARR 2024 paper "Benchmarking Cognitive Biases in Large Language Models as Evaluators"
Organization: minnesotanlp
Home Page: https://minnesotanlp.github.io/cobbler-project-page/
bias-detection,Multi-Calibration & Multi-Accuracy Boosting for R
Organization: mlr-org
bias-detection,A curated list of Distribution Shift papers/articles and recent advancements.
User: monk1337
bias-detection,A curated list of Robust Machine Learning papers/articles and recent advancements.
User: monk1337
bias-detection,This repository contains a console-interface name-ethnicity classifier
Organization: name-ethnicity-classifier
bias-detection,Intent Classification with Hugging Face, Mlfow experiment tracking, Behavioural testing of models with checklist
User: nilanshrajput
bias-detection,LUCA challenge for responsible use of AI
User: palmerabollo
bias-detection,Curated list of open source tooling for data-centric AI on unstructured data.
User: renumics
Home Page: https://renumics.com
bias-detection,Bert Classification on Jigsaw Data with Gender as a basic genre, followed by identifying Bias in Toxic Classification.
User: ritika-0111
bias-detection,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!
User: ritvik-iyer
bias-detection,Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914
User: roccotrip
bias-detection,Detection and removal of biases from brain MRI using adversarial architectures. This was my final project for CS 231n (Convolutional Neural Networks for Visual Recognition) at Stanford.
User: sahityamantravadi
bias-detection,"Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color" (ICCV 2023)
Organization: sonyresearch
bias-detection,Materials to reproduce findings in our story, "Google Ad Portal Equated 'Black Girls' With Porn"
Organization: the-markup
Home Page: https://themarkup.org/google-the-giant/2020/07/23/google-advertising-keywords-black-girls
bias-detection,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.
Organization: trusted-ai
Home Page: https://aif360.res.ibm.com/
bias-detection,This website displays plots showing bias analysis in different climate models.
Organization: ucl
Home Page: https://github-pages.ucl.ac.uk/UKCORDEX-plot-explorer/
bias-detection,Maximizing Neutrality in News Ordering
Organization: uic-indexlab
bias-detection,Examples of unfairness detection for a classification-based credit model
User: valeria-io
bias-detection,Learning to Split for Automatic Bias Detection
User: yujiabao
Home Page: https://arxiv.org/abs/2204.13749
bias-detection,"Learning Stable Classifiers by Transferring Unstable Features" ICML 2022
User: yujiabao
Home Page: https://arxiv.org/abs/2106.07847
bias-detection,Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)
User: zhihengli-ur
bias-detection,Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)
User: zhihengli-ur
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