This German scientific poster (developed as HTML5/React web app) shows the potential implications of racial/social/... Biases in the context of Machine Learning

Debugging tool for Le Framework

codes for logical operators, with the help of biases and weights

Summarization benchmark for studying corpus bias of your system

Repository consisting of the files used in the experiments + brief description of the experiments.

[SRCCON 2017] Lab/Remix "Aim to Misbehave: Privileges & Allies in Media Creation"

Review of the most studied biases in the hiring process made by Pietro Tempesti and Benedetta Tessa for the Business and Project Management exam

The MERIT Dataset is a fully synthetic, labeled dataset created for training and benchmarking LLMs on Visually Rich Document Understanding tasks. It is also designed to help detect biases and improve interpretability in LLMs, where we are actively working. This repository is actively maintained, and new features are continuously being added.

Our purpose is fair recruitment.

Comparison of Model Output Statistics and Adaptive Regression based on Kalman Filters for the Lorenz-96 Model.

Image extraction and bias analysis

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

Repo for ICCV 2021 paper: Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering

Matlab and shell scripts associated with the paper "Correcting datasets leads to more homogeneous early 20th century sea surface warming" by Duo Chan, Elizabeth C. Kent, David I. Berry, and Peter Huybers.

Matlab scripts associated with the paper "Systematic differences in bucket sea surface temperatures caused by misclassification of engine room intake measurements" by Duo Chan and Peter Huybers.

EMNLP'2020: Look at the First Sentence: Position Bias in Question Answering

List of Human Cognitive Biases

Evidence-based tools and community collaboration to end algorithmic bias, one data scientist at a time.

Computation of N0 and N1 biases in the context of CMB weak lensing

Tune weights manually.