Generative AI Ethics: a Comprehensive Safety and Regulation Framework

Abstract

The quick development of generative AI technology has brought about revolutionary new possibilities for decision-making, design, and content production. But these developments have also raised serious ethical questions, emphasizing the need for an all-encompassing framework to guarantee the security and control of generative AI systems. To address the ethical issues raised by generative AI, this study puts forth a paradigm that centers on the concepts of accountability, transparency, and governance. Strategies for reducing the dangers associated with AI-generated content are provided by this paper through an analysis of the present regulatory frameworks and the identification of gaps. The framework that is being suggested supports a multi-stakeholder approach that incorporates technical, legal, and ethical viewpoints to establish a well-rounded and efficient regulatory framework. The discussion of research directions for the future and the significance of continuing discourse to maintain AI technologies in line with social ideals finishes the article.