Study

This course analyzes the legal and policy regimes that shape the introduction of new products, processes, and services in the life science industries. Innovation in biopharmaceuticals, medical devices, health services, and health care delivery is central to the heavily regulated life sciences sector, and thus the sector offers a window into multiple intersections of scientific innovation, regulatory policy, and law.  Innovation in this sector is also shaped by multiple bodies of law (e.g. intellectual property law, FDA law, federal and state-based insurance and professional regulation, antitrust, tax), each with its own private and public constituencies, and therefore offers an opportunity to assess how different bodies of law approach the common issue of innovation.  Although this course focuses on innovation in the life science industries, this focus will produce lessons for innovation policy in other regulated and less-regulated industries. 

Robots, with us for several generations already, were long confined to narrow uses and trained users, assembling our vehicles and moving our products behind the scenes. In recent years, robotic tools have begun to step out of the back room and take center stage. Even more, these tools are fueled by constantly advancing artificial intelligence and machine learning tools that allow them to participate in the world of the mind as much as the world of muscle. Are we ready? Probably not. In order to capture the full opportunities and benefits of AI & robotics, surely our legal systems and ethical frameworks must evolve. We must find ways to ensure that human-robot interactions occur in ways that are safe and are consistent with our cultural values. We must take care that our policies and laws provide artificial intelligence tools with the direction we need without quashing or hindering the innovations that could improve our lives.

The course will bring together three core areas: (1) law, (2) ethics, and (3) applied technology. Because frontier technologies challenge existing legal regimes and ethical frameworks, this course and its assigned project encourage law, ethics, and policy students to interact with networks of experts who are actively thinking about ethical technology development and with technology policy networks that explore the social implications of a world increasingly inclusive of AI.

Beyond time spent for class preparation and in-class time, each student in Frontier AI & Robotics: Law & Ethics will be required to complete a substantial research-based Report that demonstrates a deep, research-based understanding of a topic about which the student shall become knowledgeable such that he/she could take part meaningfully in and contribute to present-day discussions of law, policy, and ethics in the topic area. This Report may qualify for the JD SRWP degree requirement or the International LLM writing requirement upon permission of the instructor.

NO PRIOR EXPERIENCE WITH ARTIFICIAL INTELLIGENCE OR TECHNOLOGY IS NEEDED FOR THIS COURSE.

This seminar introduces trade secrecy doctrine and examines the most important policy contexts in which trade secrecy are arising today. No background knowledge is required. However, students must be prepared to be quick studies of various areas of technology and law. Of the various U.S. intellectual property regimes, trade secrecy is perhaps the most doctrinally elusive. Historically a common law tort that also borrowed from property and contract, trade secrecy has become codified in state, federal, and international regimes. The codification of trade secrecy doctrine has coincided with increasing recognition that it is often the most important mechanism by which firms protect returns on innovation and/or business investment. Notably, trade secrecy (and secrecy more generally) is becoming increasingly important not only for private firms, but also for national and regional innovation and security strategies. This seminar begins with an introduction to the trade secret doctrinal canon (including a discussion of how trade secrecy intersects with patent, copyright, and data exclusivity protection). It then discusses empirical evidence on uses of trade secrecy. Next, it considers various policy contexts, ranging from cybercrime and data regulation to employment and public administration. The seminar concludes by examining frontier technology areas in which trade secrecy plays a prominent role. These include machine learning and biopharmaceutical manufacturing.

Data often is referred to as the “new oil” or the “new gold,” given its potential to help unlock many economic and social benefits ranging from making industries more innovative and efficient to aiding in drug discovery, combatting climate change, and identifying and addressing social disparities.  The exponential growth of data has enhanced the need to develop robust data governance and data sharing practices, which can implicate a broad range of legal and policy issues, including privacy, cybersecurity, intellectual property, antitrust, corporate, and emerging AI policies.  Since many U.S. organizations collect and process data in multiple countries, data governance and sharing systems often need to factor in the laws of multiple jurisdictions.The goal of the seminar is to give students a foundation in the key legal and policy issues shaping data governance and data sharing practices, and insight on how organizations are operationalizing data governance and data sharing in the quickly evolving legal environment.  The course addresses relevant US laws and policies as well as select international laws and policies in order to help prepare students to address data governance and sharing practices that extend across certain jurisdictions.  To accomplish these learning objectives, the seminar begins with an overview of data governance and a series of classes focusing on legal and policy issues implicated by data governance.  Next, the seminar includes a series of classes focused on data sharing, including emerging laws and policies promoting data sharing and contractual strategies and challenges for implementing data sharing.  Finally, the course will explore how policymakers are turning to certain technology solutions to help address competing legal and policy concerns such as protecting privacy, on the one hand, and promoting data sharing and transparency, on the other.