Course description

Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries—healthcare, finance, transit, governance—at a staggering pace. Yet many decision-makers lack a holistic understanding of these technologies’ mechanics and unforeseen effects. Public trust in AI and ML requires that leaders understand and address questions around privacy and accuracy.

The Leading in Artificial Intelligence: Exploring Technology and Policy executive program sits at the vital nexus of technology and policy, offering frameworks and strategies to navigate emerging challenges. This Artificial Intelligence executive program propels you to identify and manage risks while supporting innovation, empowering you to lead AI-driven change with clarity and ethics.

This pioneering program will enhance your knowledge of what AI is and isn’t, help you determine appropriate technologies for your organization, and sharpen your critical thinking around issues such as privacy, security, and fairness.

Through an interactive curriculum, you will:

  • Understand generative AI fundamentals, separating conceptual knowledge from technical jargon
  • Leverage generative AI to boost organizational productivity and enhance continuous learning
  • Explore real-world applications that responsibly harness AI while fostering social good
  • Engage thoughtfully in current generative AI policy debates around regulation, security, labor, misinformation, and intellectual property

Grounded in the case-method approach, created at Harvard, the curriculum will include small group discussions, stimulating workshops, lectures, and critical peer-to-peer learning.

Instructors

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