Social and Ethical Issues in Information Technology - material and project

Birhanu Eshete is an Associate Professor of Computer Science at the University of Michigan, Dearborn. His main research focus is in trustworthy machine learning with emphasis on security, safety, privacy, interpretability, fairness, and the dynamics thereof. He also studies online cybercrime and advanced and persistent threats (APTs).

A web app for ethical AI framework, internal evaluation workflow and monitoring production model

The first ethical language generation model.

People for Ethical Treatment of the Artificial Intelligence

This project aims to understand the algorithmic bias in the corrections system through analyzing the COMPAS dataset.

Debiasing word embeddings

Welcome to the "Harnessing the Power of AI" workshop! This GitHub repository serves as a comprehensive resource for participants seeking hands-on learning and in-depth understanding of AI concepts, techniques, and tools.

Giving voice to the voiceless and helping voiceless to be heard

A bias bounty competition for income prediction. Using the pointer decision list method to improve group accuracy.

A benchmark of the different word embedding techniques on fairness and bias in AI models

The simulation of fuzzy ethical rules for drones.

DAD/Do's and Dont's for Machine Learning Engineers

An Ethical Engine that decides between saving the lives of passengers in a car or pedestrians given precarious scenarios.

Implementation of an alternative front-end and recommendation system for YouTube, and an attempt to develop a moral and ethical video social network. Based on the Tournesol project.

Code for fair-representation learning path

Framer.Js Prototype showcasing UX/UI methods we can use to remove bias from recommendation services. In this case, how to build the menu of tomorrow..

Personal Data Science Projects

Collection of libraries related to Ethical AI, Fairness & Transparency

Basic tutorials and code for teaching deep learning and machine learning