Generative AI and Creativity: Ethical Implications and Future Perspectives

Abstract

Generative AI is reshaping the creative landscape by enabling machines to produce original content in art, music, literature, and design. With advancements in deep learning and neural networks, AI-generated works are becoming increasingly sophisticated, blurring the lines between human and machine creativity. This paper explores the capabilities of generative AI, its role in augmenting human expression, and the ethical dilemmas it introduces. Key challenges include issues of authorship, intellectual property rights, bias in AI-generated content, and the potential displacement of human creators. Through an analysis of case studies and expert insights, this study evaluates the societal and economic impact of AI-driven creativity. The findings emphasize the need for ethical frameworks and regulatory policies to ensure responsible use of generative AI in creative domains. By striking a balance between innovation and ethical considerations, this paper aims to contribute to the ongoing discourse on the future of AI-assisted creativity.