ERAGS

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3

Data and code for paper "M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models"

List of references about Machine Learning bias and ethics

Your personal voice language teacher based on ChatGPT + Whisper + Eleven Labs

A step-by-step walkthrough of the inner workings of a simple neural network. The goal is to demystify the calculations behind neural networks by breaking them down into understandable components, including forward propagation, backpropagation, gradient calculations, and parameter updates.

An Introduction to Transparent Machine Learning

Worldwide AI Ethics (WAIE) is a systematic literature review done by AIRES researchers at PUCRS.

An Introduction to Transparent Machine Learning

Paper lists about 'Constitutional AI System' or 'AI under Ethical Guidelines'