This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
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Updated
Sep 19, 2024
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)
π 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.
LangFair is a Python library for conducting use-case level LLM bias and fairness assessments
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
Personal Data Science Projects
Capture fundamentals around ethics of AI, responsible AI from principle, process, standards, guidelines, ecosystem, regulation/risk standpoint.
Automate ethical AI assessments via GitHub Actions
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
Intercept AI - Empowering safe and secure online experiences through cutting-edge content filtering technology.
Ami is friend in French. She could be everyone's friend, and is extremely helpful
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 π enhances FLAN-T5 models for tasks like summarizing Spanish news articles πͺπΈπ°. It features detailed notebooks π on fine-tuning and evaluating models to optimize performance for specific applications. πβ¨
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.
Pentecost AI Website Toolkit
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