This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
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Updated
Jan 20, 2025
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
List of references about Machine Learning bias and ethics
Courses on Kaggle
This AI fact-checking system, built with LangGraph, dissects text into verifiable claims, cross-referencing them with real-world evidence via web searches. It then generates detailed accuracy reports, ideal for combating misinformation in LLM outputs, news, or any text.
An Introduction to Transparent Machine Learning
An Introduction to Transparent Machine Learning
Paper lists about 'Constitutional AI System' or 'AI under Ethical Guidelines'
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
An initiative to build a fair and sustainable AI ecosystem by identifying and crediting open-access creators whose work shows strong similarity to AI-generated content.
Replication Code for: On the Mechanics of NFT Valuation: AI Ethics and Social Media
The findings of this research reveal several intriguing disparities between human and AI text generation. I demonstrated that these differences could be successfully utilized by classifiers to distinguish between human and AI-generated text.
JudgeGPT - (Fake) News Evaluation, a research project
Reviews of papers related to robot learning, computer vision, audio , NLP and AI Ethics
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.
Stash of some of the most potent research papers, blogs and videos on AI which I liked.
Indice d'implication de l'intelligence artificielle
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