Artificial Intelligence at the Crossroads of Privacy and Intellectual Property: Redefining Ownership, Consent, and Control in the Data-Driven Era

The rise of artificial intelligence (AI) has intensified debates at the intersection of privacy and intellectual property (IP) law, where questions of ownership, consent, and control over data have become central. AI systems rely heavily on massive datasets, often incorporating personal information and creative outputs, raising concerns about privacy rights and data protection. Simultaneously, the generation of new content by AI challenges traditional IP regimes, blurring the boundaries of authorship, inventorship, and ownership. This paper explores how the convergence of privacy and intellectual property frameworks is reshaping legal and ethical norms in the data-driven era. It examines key issues such as the legitimacy of data collection and consent, the commodification of personal information, the ownership of AI-generated works, and the control mechanisms available to individuals and organizations. Through an analysis of emerging regulations, case law, and ethical principles, the study highlights the need for integrated legal frameworks that balance innovation with individual rights. Ultimately, it argues that achieving fairness and accountability in AI requires redefining ownership, consent, and control to safeguard human dignity, privacy, and creative expression in a rapidly evolving technological landscape.