Description:
Course Description: This course explores the ethical and regulatory framework that underpin AI. Students will analyze real-world policy and governance strategies that seek to manage AI’s impacts and engage in debates that will shape the future of the field.
Prerequisites: None
Learning Outcome:
– Identify core concepts in the emerging AI policy domain including key actors, institutions, and governance strategies that have been proposed by or adopted in governments, firms, and civil society organizations
– Analyze and evaluate the social and ethical dimensions of AI, focusing on issue spotting and understanding the policy implications of these issues
– Examine current regulatory trends and policy frameworks for AI governance, including prominent debates and challenges
– Synthesize emerging best practices, issues, and debates in AI policy and governance, while developing strategies for continual monitoring and staying informed
| Module |
Topic & Readings |
| Module 1 |
Introduction to AI |
| Module 2 |
Key Concepts in International Governance |
| Module 3 |
Corporate Governance and Self-Regulation |
| Module 4 |
Ethics and Impact Assessment |
| Module 5 |
Getting Engaged and Building Expertise |
Faculty: Daniel Schiff