Social and Ethical Issues in Information Technology - material and project
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Updated
Sep 6, 2020
Social and Ethical Issues in Information Technology - material and project
A web app for ethical AI framework, internal evaluation workflow and monitoring production model
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).
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.
The first ethical language generation model.
A benchmark of the different word embedding techniques on fairness and bias in AI models
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.
People for Ethical Treatment of the Artificial Intelligence
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..
Code for fair-representation learning path
Personal Data Science Projects
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.
Basic tutorials and code for teaching deep learning and machine learning
Automate ethical AI assessments via GitHub Actions
Collection of libraries related to Ethical AI, Fairness & Transparency
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