The Business, Law, Technology, and Policy of Artificial Intelligence

Class Information Spring 2022

  • 3 units
  • Class No.: 42180
  • Meets: Mon & Wed
  • Time: 2:40 pm - 3:55 pm
  • Location: 207
  • Exam: May 03, 2022 9:00 am
  • Course Description

The Business, Law, Technology, and Policy of Artificial Intelligence

Certificate(s): High Tech Law

Course Description:

Artificial intelligence is transforming the way that companies and organizations operate and do business. Self-learning algorithms, autonomous robots, and related technologies are increasingly carrying out tasks that once were exclusively performed by humans, creating new challenges and opportunities for the legal profession. This class will explore the business, technology, and law of artificial intelligence through assigned readings and individual and group problem sets, discussion, field trips, and engagement with local experts in AI, robotics, and neural engineering.

Class Notes:

 

Predictive algorithms, autonomous robots, and related technologies are increasingly being used to carry out tasks that once were exclusively performed by humans, whether in the administration or enforcement of the law, operation of business, or governance of the public. The class will focus on the challenges and opportunities for the legal profession created by these changes, through the lens of the business and technology of artificial intelligence. Through assigned readings, simulations, and engagement with experts in AI, robotics, and neural engineering, we will examine questions pertaining to inequality, race, accountability, privacy, personal liberty, ethics and transparency by engaging the laws of intellectual property, liability, compliance, and privacy. No technical background required but participants will code their own chatbots and gain other relevant technical experiences. A select group of students in the class will work closely with Professor Chien on tech and social justice and automation in lieu of doing a final paper or exam.  Approved IP LLM course.  

No Technical Background required. Approved LLM Course. All classes will be recorded.