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HKS Executive Education Faculty Webinar: Machine Learning for Leaders
Artificial Intelligence
HKS Executive Education Faculty Webinar: Machine Learning for Leaders
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Event Schedule
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Aug. 7, 2026 - Dec. 1, 2026
Clock
07:57 AM
-
08:57 AM
Location
online
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HKS Executive Education Faculty Webinar: Machine Learning for Leaders
Description

To help leaders and policymakers better understand how machine learning is shaping government, law, technology, and public decision-making, Harvard Kennedy School Executive Education is offering the free online webinar “Machine Learning for Leaders.”

Presented in collaboration with Harvard’s John A. Paulson School of Engineering and Applied Sciences, the webinar features professors Fernanda Viégas and Martin Wattenberg. The session introduces the basic principles of machine learning and explores the issues leaders should consider when working with data-driven technologies.

What You Will Gain:

  • Develop an introductory understanding of machine learning and how its systems operate

  • Explore the implications of machine learning for government, law, technology, and public policy

  • Understand how data-driven technologies can influence leadership and public-management decisions

  • Gain insights from Harvard faculty with academic and industry experience in artificial intelligence and data visualization

  • Access a flexible, one-hour learning experience that can be completed at your own pace

Who Can Join:

  • Government officials, policymakers, and public-sector leaders

  • Professionals working in governance, law, public policy, and technology

  • Managers and organizational leaders seeking a non-technical introduction to machine learning

  • Students and researchers interested in artificial intelligence, public leadership, and digital governance

  • Professionals from any sector seeking to better understand machine learning

Why Join:

Machine learning increasingly influences how institutions analyse information, deliver services, and make decisions. This webinar provides non-technical professionals with an accessible introduction to how these systems work, the value they may offer, and the governance and policy questions they raise.

Main Topics
Generative AI
AI Governance
AI & Digital Innovation
Learn More