Nesse repositório vou disponibilizar links para livros, apresentações, artigos e cursos gratuitos que me ajudarem na minha pesquisa sobre como o viés inconsciente tem afetado a Inteligência Artificial e quais seus impactos no futuro da humanidade.

🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍

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

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

🧠 A fast and clean supervised neural network in C++, capable of effectively using multiple cores

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

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.

Tune weights manually.

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

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

Our purpose is fair recruitment.

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

Summarization benchmark for studying corpus bias of your system

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.

List of Human Cognitive Biases

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

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

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.

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

Image extraction and bias analysis