This course examines the governance, legal, and ethical dimensions of artificial intelligence from a managerial and enterprise perspective. Emphasizing Responsible AI frameworks, students analyze how organizations design, deploy, and oversee AI systems in compliance with evolving legal standards and societal expectations. Topics include managing algorithmic bias and fairness risks, intellectual property and copyright challenges in generative AI, data privacy and regulatory compliance (e.g., GDPR, CCPA), and the strategic implications of AI accountability. The course also explores executive-level governance models, including AI steering committees, board oversight, and risk management structures that enable scalable, ethical, and compliant AI adoption. Through case studies and applied frameworks, students develop the leadership skills required to guide AI strategy responsibly within complex organizational and regulatory environments
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