Welcome to my collection of Responsible AI (RAI) resources and research materials. This repository serves as a curated knowledge base for understanding and implementing ethical AI practices, focusing on transparency, fairness, accountability, and safety in artificial intelligence systems.
📁 Case Studies: Real-world examples and impact analysis
📁 Core Concepts: Fundamentals and terminology
📁 Educational Resources: Learning materials and repositories
📁 Evaluation and Testing: Assessment tools and methods
📁 Regulations and Frameworks: Guidelines and compliance
📁 Safety and Alignment: Safety research and considerations