PUBPOL 5787

Leadership in the Algorithmic Age: AI and Public Policy

Course Description

Course information provided by the Courses of Study 2024-2025. Courses of Study 2024-2025 is scheduled to publish mid-June.

Artificial Intelligence (AI) has emerged as a transformative force in society, impacting various facets of our lives. As AI technologies advance, the need for effective public policy frameworks becomes increasingly critical. This graduate-level course explores the dynamic intersection of AI and public policy, delving into the ethical, regulatory, and practical considerations that shape the development and implementation of policies governing AI. This course also emphasizes the need for proactive development of policies to navigate the challenges and opportunities presented by AI technologies. Through a combination of lectures, readings, discussions, and a practical policy project, students will gain a holistic perspective on the challenges and opportunities presented by AI technologies in society.

When Offered Fall.

Permission Note Enrollment limited to: Executive Master of Public Administration (EMPA) students.

• Students will discuss the Foundations of AI and gain a comprehensive understanding of AI technologies, their applications, and the implications for individuals, communities, and societies.
• Students will examine regulatory landscapes; explore the historical evolution of AI regulation globally, comparing approaches taken by different countries and regions. Analyze challenges and opportunities in regulating rapidly evolving AI technologies.
• Students will debate privacy and security in the AI Era: Investigate the intricate relationship between AI and privacy, cybersecurity, and data protection. Assess policy responses aimed at safeguarding individual rights and ensuring the security of AI systems.
• Students will identify opportunities to address bias and fairness: Explore the ethical dimensions of algorithmic bias and fairness in AI decision-making. Evaluate policy strategies and frameworks designed to mitigate bias and promote fairness.

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