Study

The course will survey the legal issues raised by cyber-related crime. The bulk of the course will be organized around two overarching themes: (1) substantive criminal law (i.e., the scope, structure, and limitations of the criminal laws that reach cyber-related crime); and (2) criminal procedure (i.e., the scope, structure, and limitations of the privacy laws and constitutional principles that regulate law enforcement investigations of cyber-related crime).  Along the way, we will also consider topics that frequently arise in cyber-related investigations and prosecutions, such as:  jurisdictional issues (e.g., federal/state dynamics and international cooperation in collecting evidence); national security considerations (e.g., state-sponsored intrusions and IP theft, terrorists’ use of the internet, government surveillance); and encryption.  We will make regular use of contemporary case studies, including several drawn from my own experience in the national security arena. 

This course will provide an introduction to the dynamic and evolving field of cyber law and policy.  The course will be team-taught by multiple instructors with expertise in various government and industry sectors. The goal is to introduce students to the legal and policy frameworks that guide lawyers and decision-makers in a world of rapid technological change, with a primary emphasis on cybersecurity and privacy. We will discuss today’s threat landscape and approaches to data breaches, cybercrime by state and non-state actors, and cyberwarfare. We will also consider the legal and policy issues surrounding the collection and use of personal data, with a focus on both domestic and international data privacy protections. Other topics will also be explored, such as the impact of emerging technologies and markets (e.g., machine learning, digital currencies, platform media) and the ethical responsibilities of lawyers. Real-world case studies will be employed to allow students to weigh in on some of the most pressing issues of our time.   This course is introductory in nature and no technical background is necessary.

Note: Students who have taken Law 609, Readings in Cyber Law with Stansbury, may not take Law 316, Intro to Cyber Law. 

Artificial intelligence is on a tremendous growth trajectory and is being developed, adopted and used for many purposes throughout society.  From a legal and policy perspective, AI presents many interesting and complex issues because the technological developments have greatly outpaced the legal, ethical, and policy developments.  One of the important questions centers on what legal and policy frameworks and practices are appropriate to build an ecosystem of trust that will help ensure citizens and other stakeholders that artificial intelligence will benefit them and is being developed and deployed in an ethical, safe, reliable and responsible manner (the “Legal and Policy Framework Question”).  Policymakers and other stakeholders around the globe are grappling with this Legal and Policy Framework Question.  As the discussions unfold, organizations also are designing their own practices for operationalizing trustworthy or ethical artificial intelligence.

The goal of the seminar is to give students a foundation in the emerging AI laws and policies and insight on the broader process of how laws and policies need to adapt for significant technological changes.  This seminar will explore in detail several approaches currently being considered to answer the Legal and Policy Framework Question, including regulatory approaches, standards, soft law, and self-regulation. As the students study various approaches, they will be asked to consider several sub-questions, such as (a) how the AI legal and policy framework should be calibrated to address risk, (b) the extent to which the framework should be sector specific or apply across industries, (c) which frameworks enable society to capitalize on AI’s benefits and mitigate potential risks, and (d) what is the optimal level of cross-border harmonization and how best to achieve it.   The course also will explore certain other legal issues arising in connection with AI, such antitrust and competition law and intellectual property and proprietary rights matters.