ABSTRACT:
This AI-generated content now has a different meaning-from a machine learning and neural network point of view. This vary technological breakthrough raises challenges and discussions worldwide about what is human and machine creativity. There are different histories of copyright and authorship connected to one another through the case studies of AI-generated works and the disputes created over them. Indeed, the legal situation is beset by a formidable challenge-how do AI-generated content and concepts find a place within copyright law? Differing practices across nations are more than enough evidence that there exist significant gaps in the global copyright guidelines. Integration between governments, companies, artists, and additional parties will be sorely needed to produce frameworks still to come. The benefits of AI-generated content are many, such as increased efficiency, enhanced creativity, better access, and wider diversity among kinds of creative output. And these benefits come hand in hand with aligning the risks it poses-stability versus quality, originality, job displacement, and ethical aspects concerning bias and fair use. The frequency of impacting creators and industries will be unseen; tackling these issues evokes a great deal of active thinking and innovative approaches to achieving commonality in creativity between humanity and artificial intelligence. To follow trends, adaptation always needs to be ensured in future by working together. Therefore, a holistic approach is significant in understanding and managing AI-generated content towards a restorative and innovative future for the creative industries.
KEYWORDS: AI-generated content, Machine learning, Neural networks,Copyright Authorship, legal challenges, Regulatory frameworks, Creativity, Bias, Fair use, Originality, Job displacement, Collaboration, Future trends
1.INTRODUCTION TO AI-GENERATED CONTENT:
1.1 Defining AI-Generated Content: What it is and its rise in various industries.
Articles and other text-based content, pictures, music, audio, and videos produced by computers rather than by humans can all be considered AI-created content. AI-generated content has proliferated in recent years in a wide range of fields and facets of our lives, such as marketing and advertising, media and entertainment, education, and healthcare. This growth in AI-generated content can attribute to advancements in natural language processing (NLP), machine learning, and computer vision. We anticipate that future industries will build creative applications of AI-generated content that impact how we create, consume, and interact with content in all its forms as AI develops and becomes more integrated into our daily lives.