A curated list of awesome academic research, books, code of ethics, data sets, institutes, newsletters, principles, podcasts, reports, tools, regulations and standards related to Responsible, Trustworthy, and Human-Centered AI.

An Ethical AI framework, laying the foundation for success in AI development

LangFair is a Python library for conducting use-case level LLM bias and fairness assessments

Ami is friend in French. She could be everyone's friend, and is extremely helpful

This repository contains list of open-source ML Fairness repositories throughout Github. We analyzed Engagement and Maintenance of these tools

Experimental interface environment for LLM, designed to democratize the use of open source AI. Powered by llama-cpp, llama-cpp-python and Gradio.

The LLM FineTuning and Evaluation project 🚀 enhances FLAN-T5 models for tasks like summarizing Spanish news articles 🇪🇸📰. It features detailed notebooks 📚 on fine-tuning and evaluating models to optimize performance for specific applications. 🔍✨

Pentecost AI Website Toolkit

Master thesis: Exploring bias in German NLG (GPT-3 & GerPT-2). Applies regard classification and bias mitigation triggers.

Automate ethical AI assessments via GitHub Actions

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

Documentation for dynamic machine learning systems.

KLEP (Key-Lock-Executable-Process) is a groundbreaking AI framework that utilizes symbolic AI for dynamic decision-making. It integrates keys, locks, executables, and processes to foster ethical, modular, and transparent AI applications, offering a novel approach for developers and researchers in AI and cognitive science.

Upload, score, and visually compare multiple LLM-graded summaries simultaneously!

Visually compare fill-in-the-blank LLM prompts to uncover learned biases and associations!

Intercept AI - Empowering safe and secure online experiences through cutting-edge content filtering technology.

In this project we trained personalized transformer models for news recommendation using adapters [similar to (IA)^3]. With layerwise relevancy propagation, we try to explain the recommendation to the user. Using a web interface and displaying word clouds, the user can be assigned to a “filter bubble”. This allows users to reflect on their behavior

Trustworthy AI: From Theory to Practice book. Explore the intersection of ethics and technology with 'Trustworthy AI: From Theory to Practice.' This comprehensive guide delves into creating AI models that prioritize privacy, security, and robustness. Featuring practical examples in Python, it covers uncertainty quantification, adversarial ML

📚 A curated list of papers & technical articles on AI Quality & Safety

A python implementation of Dave Shap's ACE Model