Artificial Intelligence, Accountability, and the Law (Boeglin)
Additional Information
Skills Training
Oral Presentations
Expository Writing
Other Professional Skills: We will explore the responsible and productive use of artificial intelligence in legal work.
Grading
25% Participation,
75% Paper
With Permission of Instructor
Class meets in person.
Course Continuity
Students are encouraged to stay home if you are ill or experience flu-like symptoms. If you miss a class for any reason, it is still your responsibility to make up the work missed.
I offer the following to students who miss class due to illness:
- I will make PowerPoint slides or other class materials routinely available on the course site to everyone in the class.
- Please make an appointment to meet with me and I will review/answer questions about what you missed.
Meeting Times/Location
M 4:30PM - 6:30PM
Tanenbaum Hall 320
Category
Seminar
Credits
3.0
The more we learn about what artificial intelligence (AI) can do, the more we worry about what it should do. As the capability of AI systems has grown, so too have concerns over AI’s lack of explainability (interpretability), its proclivity to fabricate information (hallucination), and its tendency to reflect and amplify societal discrimination (algorithmic bias). In this Seminar, we will explore why it has proven so hard to make AI accountable—and what role law can play in helping to change that. Topics will include what is popularly known as the “alignment problem” (how to align AI to human objectives and human values), as well as the increasing use of AI to administer government entitlement programs, predict “dangerousness” in the criminal justice system, and resolve legal disputes. Grades will be based on attendance, classroom participation, and a final paper, for which senior writing requirement credit is available, with instructor approval. No course prerequisites required.
Courts and the Judicial System Learning outcomes: Demonstrate a core understanding of both substantive and procedural issues in the operation of our legal system; Perform legal analysis in the context of procedural issues and the judicial process; Communicate effectively on topics related to procedure and the judicial process; Demonstrate an understanding of how procedural issues and the judicial process affect all other area of our legal system.
Intellectual Property and Technology Law Learning outcomes: Demonstrate a core understanding of intellectual property law; Perform legal analysis in the context of intellectual property law; Communicate effectively on topics related to intellectual property; Demonstrate an understanding of the interconnection between technology and intellectual property, and how they affect other areas of law and society.
Administrative and Regulatory Law Learning outcomes: Demonstrate a core understanding of administrative and regulatory law and the administrative process, including the role of statutory authorization and work of administrative agencies; Perform legal analysis in the context of administrative and regulatory law; Communicate effectively on topics related to administrative and regulatory law; Demonstrate an understanding of the role administrative and regulatory law play in our legal system and in society as a whole.
Professional Responsibility and Ethics Learning outcomes: Demonstrate an understanding of how the law affects, and is affected by, the individual course topic; Perform legal analysis in the context of the individual course topic; Communicate effectively on the legal and other aspects of the individual course topic; Demonstrate the ability to use other disciplines to analyze legal issues relevant to the individual course topic, including economics, philosophy, and sociology, as appropriate.
Equity and Inclusion Learning outcomes: Demonstrate a core understanding of the varied legal aspects of equity and inclusion; Perform legal analysis in the context of topics related to equity and inclusion; Communicate effectively on the legal aspects of equity and inclusion; Demonstrate an understanding of how equity and inclusion are connected to and affected by a wide variety of legal and regulatory structures and doctrines.
Textbooks
"The Alignment Problem: Machine Learning and Human Values " by Brian Christian |