2024-25 Spring - EMIA6500M - Generative Artificial Intelligence Governance

Course

Description

This course provides an in-depth exploration of generative artificial intelligence (AI) governance, focusing on its governance mechanisms and implications across various sectors. Students will analyze real-world applications and case studies to understand the ethical, legal, and societal challenges associated with generative AI. The curriculum is designed to develop frameworks and strategies for responsible AI deployment, ensuring compliance with regulatory standards and ethical considerations. Through this interdisciplinary approach, students will gain a robust understanding of AI governance and its practical applications, preparing them to navigate the evolving landscape of AI technologies responsibly. This course aims to equip students with the skills to influence the development of AI governance policies that foster innovation while safeguarding ethical standards and societal values. By examining the opportunities and risks of generative AI in different contexts, students will learn how to balance technological advancement with ethical and societal concerns, making them well-prepared to contribute to the future of AI technologies.
Course period1/02/2530/06/25
Course levelPG
Course formatLecture