AI-Driven Compliance Automation for Global Media Distribution Platforms

Abstract

The high rate of media distribution platforms growth that has been observed all over the world has posed a tremendous challenge of ensuring compliance with the diverse and differing legal frameworks. Such social media as YouTube, Netflix, and Tik Tok will be forced to adhere to the multi-faced criteria related to copyright infringement, content control, and privacy in different jurisdictions. The traditional manual compliance processes are no longer adequate by the magnitude, rate and volume of user generated contents. Artificial Intelligence (AI) has been an important solution to the compliance automation and scalable governance process to solve it. In the discussed review paper, the author speaks about the application of AI-based compliance automation of media platforms in the world with the focus on such basic technologies as machine learning, natural language processing, and computer vision. It will address the applications of these technologies to the content moderation industry, copyright identification, and the problem of data protection and consider the architecture of the AI-driven compliance systems. The paper lists real-life uses on major platforms in addition to how AI can be effective in efficiency improvement of operations and regulatory conformity. The paper also determines the key problems, including algorithmic prejudice, the inability to offer explanations, regulatory disintegration, and the need to have human control.