Artificial intelligence and copyright: navigating limitations and unlocking challanges.

Artificial Intelligence in creative industries is on rise, and is visibly creating a lot of legal, economic and ethical challenges, mainly related to copyright ownership and infringement. Therefore, traditional copyright laws which provide for the protection of intellectual property rights based on human authorship find it hard to address contents generated by AI. This chapter considers the legal ambiguities of authorship and owning copyright and has several key cases to reflect on, Thaler v. U.S. Copyright Office, and the DABUS controversy. In cases like the United States and the European Union, where such AI cannot be deemed an author but where there is no legal clarification to the contrary, this creates economic uncertainty for industries where AI generated works are used. One more important matter is the risk of violating intellectual property rights during training AI models on copyrighted materials. Concerns have been raised for unauthorized use, derivative creation, and use in ambiguity in fair use over copyrighted works that are often used by AI systems and their large datasets. In addition, the chapter considers legal disputes, e.g., Authors Guild v. To illustrate, I will use the training of AI model by Google Inc.