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

Aligning AI With Shared Human Values (ICLR 2021)

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

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.

Documentation for dynamic machine learning systems.

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

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

A python implementation of Dave Shap's ACE Model

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

Personal Data Science Projects

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

Capture fundamentals around ethics of AI, responsible AI from principle, process, standards, guidelines, ecosystem, regulation/risk standpoint.

Automate ethical AI assessments via GitHub Actions

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

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

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.

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.

A repository of tools and resources for ethical AI