Data-Privacy

This document examines copyright, privacy, accuracy, hallucination, and ethical challenges in generative AI, offering practical strategies for responsible use and compliance with legal and social standards.

This document explores the ethical principles, challenges, and responsibilities in AI development, including privacy, bias, transparency accountability, and equitable access, with real-world case studies and practical strategies for responsible AI use.