#Ai-ethics
Showing 5 of 5 repositories tagged #ai-ethics, ranked by stars
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
๐ A curated collection of free, high quality AI tools ๐ค, APIs ๐, datasets ๐, and learning resources ๐ covering machine learning ๐ง , deep learning ๐งฉ, generative AI ๐จ, NLP ๐ฌ, and data science ๐. Designed to help developers ๐ฉโ๐ป, researchers ๐ฌ, and creators โจ explore and build with AI faster โก.
Courses on Kaggle
List of references about Machine Learning bias and ethics
A narrative and technical exploration of data authenticity through the four pillars of synthetic data realism, Fidelity, Coverage, Privacy, and Utility. This thought-leadership piece combines storytelling, mathematics, and code to explain how these metrics define the ethical and functional โsoulโ of data in AI systems.