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Mapping the Law of Artificial Intelligence

Navigate the legal frontier of AI, from privacy and cybersecurity to liability in an era of algorithmic decision-making.

Created byDavid Opderbeck
BeginnerUpdated Apr 8, 2026
Mapping the Law of Artificial Intelligence

What You'll Learn

check_circleDistinguish between strong, weak, and general-purpose AI within a legal framework.
check_circleAnalyze the application of privacy principles to AI training data and algorithmic outputs.
check_circleEvaluate the impact of emerging state and international regulations on AI development.
check_circleAssess the challenges of applying traditional product liability and negligence standards to AI systems.
check_circleIdentify key cybersecurity risks associated with AI, including evasion and poisoning attacks.

About This Course

Artificial intelligence is rapidly transforming the global economy, outpacing traditional legal frameworks and creating an urgent need for regulatory clarity.

"Mapping the Law of Artificial Intelligence" is a cutting-edge course designed to navigate the complex and uncharted intersection of law, technology, and public policy. As autonomous systems and generative AI become deeply embedded in business and daily life, legal professionals must understand how to govern technologies that increasingly defy conventional legal categorization.

This course provides a comprehensive survey of the current and future legal landscape of AI. Students will explore how existing legal doctrines adapt—or fail to adapt—to machine learning, while critically examining the latest global regulatory efforts, including:

  • The EU AI Act
  • Emerging U.S. federal and state frameworks
  • International treaties

Key areas of exploration include:

  • Intellectual Property: Copyright and patent challenges surrounding generative AI, training data scraping, and machine-created works.
  • Liability and Torts: Apportioning fault when autonomous vehicles, medical diagnostics, or predictive algorithms cause injury or financial harm.
  • Privacy and Data Governance: Navigating the tension between the massive data requirements of AI models and stringent global privacy laws.
  • Bias, Fairness, and Civil Rights: Addressing algorithmic discrimination and transparency in employment, criminal justice, housing, and lending.
  • Corporate Governance and Compliance: Structuring internal AI risk management frameworks for tech startups and enterprise organizations.

Through the analysis of landmark litigation, case studies, and policy simulations, students will develop practical frameworks for:

  • Assessing risk
  • Advising clients
  • Drafting forward-thinking compliance strategies

Whether you aspire to work in corporate law, public policy, litigation, or tech entrepreneurship, this course will equip you with the essential tools to confidently chart the legal frontiers of the AI revolution.

Your Instructor

David Opderbeck
David Opderbeck

Professor of Law, Co-Director of the Institute for Privacy Protection, and Co-Director of the Gibbons Institute for Law Science | Seton Hall University Law School

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David Opderbeck is Professor of Law and Co-Director of the Gibbons Institute of Law, Science & Technology and Institute for Privacy Protection. His legal scholarship focuses on artificial intelligence, cybersecurity, data privacy, and intellectual property law. He develops and teaches innovative courses in technology law, including Cybersecurity Law and Policy, Artificial Intelligence and the Law, and a Data Privacy and Security Lab. He also leads the Law School's Data Privacy and Security Compliance Program. In the core law school curriculum, he has taught Property Law, Constitutional Law, and Torts. He is also a Faculty Associate with the Berkman-Klein Center for Internet & Society at Harvard University. Prior to his career in academia, he was a Partner in the Intellectual Property / Technology practice at McCarter & English, LLP, where he began practicing cyber and intellectual property law in the early years of the public Internet. In 1995, the New Jersey Law Journal documented that he was the first practicing attorney in New Jersey to establish an Internet home page. He continues to engage in practice activities, including serving as an arbitrator through the American Arbitration Association in cases involving data breaches, cryptocurrency, and other issues. David is also interested in legal philosophy and the moral dimensions of law and public policy. In addition to his legal training, he holds earned Doctorate and Masters degrees in theology. His first two books, Law and Theology: Classic Questions and Contemporary Perspectives (Fortress Press 2019) and The End of the Law? Law, Theology, and Neuroscience (Wipf & Stock / Cascade 2021) received broad acclaim. His third book, Faithful Exchange: The Economy as It's Meant to Be, a theological assessment of economic paradigms informed by rule of law principles, will be released by Fortress Press in 2025.

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We are a registered provider with 327+ associations and regulatory bodies worldwide. We operate across 29 global markets including Canada, the US, Australia, and the UK. Every course page clearly displays its specific accreditations. Upon completion, you receive a professional certificate that can be validated online. Our certificates include all necessary accreditation details, credit hours, and completion dates, and are formatted specifically to meet the submission requirements of most global regulatory bodies.

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