NAVIGATING THE LEGAL LANDSCAPE OF DEEP LEARNING

Deep learning has rapidly transformed industries, introducing significant legal and ethical challenges. This paper explores the evolving legal landscape surrounding deep learning, including intellectual property rights, data privacy, algorithmic accountability, and liability. It examines existing regulations, emerging legal frameworks, and their implications for researchers, businesses, and policymakers. The paper concludes with recommendations for legal adaptations that can support innovation while ensuring ethical and lawful deployment of deep learning technologies.