Maayan Perel

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About

Maayan Perel is a leading scholar at the intersection of law, technology, and digital governance, with a primary focus on algorithmic accountability, online intermediary liability, and copyright enforcement. Her most-cited work, "Accountability in Algorithmic Enforcement: Lessons from Copyright Enforcement by Online Intermediaries" (2015), has garnered 25 citations and stands as a foundational critique of automated decision-making in legal contexts. In this paper, Perel examines how platforms like YouTube deploy algorithmic tools to enforce copyright, revealing systemic gaps in transparency, due process, and human oversight. Her analysis not only exposes the risks of unaccountable automated enforcement—such as over-removal of lawful content—but also proposes frameworks for embedding procedural fairness into algorithmic systems. This contribution has shaped debates among policymakers, technologists, and legal scholars, influencing discussions on platform governance and the need for algorithmic auditing. Perel’s work is notable for bridging theoretical legal principles with practical enforcement challenges, making her a pivotal voice in contemporary digital law. Her research continues to inform how we understand accountability in an era of increasingly automated legal decision-making, offering critical insights for students and researchers navigating the complexities of AI regulation and intermediary responsibility.