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|PPOL 762 - The Policy Issues of Big Data|
This seminar explores the policy issues surrounding the advent of Big Data and Artificial Intelligence, such as privacy, data fairness, future of work, and other issues impacting how policymakers are approaching the exponential increase in data volume, variety, and velocity, as well as computer understanding. We will first set a foundation by learning about the current (and future) scale and computing power brought by Big Data and AI. We will also endeavor to understand the foundation of data policy and current regulatory policy players. We will then explore how these traditional principles are being applied and reevaluated today, including the ongoing debate about how -- and whether -- these principles continue to retain their vitality in the age of AI and exponential data. Students will learn a variety of skills, such as analyzing policy in the hi-tech arena and communicating their analysis and arguments through writing and oral presentations, including preparing for a "mock workshop" about privacy and technology. Our goal will be to understand the vibrant debate surrounding Big Data and AI policy, and how policymakers' choices will impact consumer welfare for better or worse.
3.000 Credit hours
3.000 Lecture hours
Levels: MN or MC Graduate
Schedule Types: Lecture
Public Policy Department