LinkedIn Learning Course

Ethics in the Age of
Generative AI

A 45-minute LinkedIn Learning course on practical AI ethics for leaders, technologists, and decision-makers. Available in six languages and viewed by more than 700,000 people worldwide.

Available free with LinkedIn Premium

700,000+

Viewers worldwide

6

Languages available

4.6 / 5

Average rating

45 min

Course length

About the Course

Generative AI is moving quickly into products, workflows, and public life. The ethical questions are no longer abstract. They are design questions, governance questions, and leadership questions.

This course offers a practical introduction to the ethics of generative AI for people who have to make real decisions about how these systems are built, deployed, and governed. It introduces a framework for ethical analysis, then applies that framework to the organizational choices that matter most: data, teams, executive oversight, board responsibility, customer engagement, and communication.

Available on LinkedIn Learning, the course is designed for decision-makers who need a grounded, usable way to think about AI ethics in practice.

Who this course is for

  • Design, product, data, and engineering teams working with generative AI
  • Executives and functional leaders deploying AI inside organizations
  • Board members overseeing AI risk, governance, and long-term strategy
  • Policy, nonprofit, and public-interest leaders navigating AI adoption
  • Professionals seeking a clear introduction to responsible AI

Course Curriculum

01

Why ethics now

Sets the stakes for generative AI and the choices leaders are making now about how these systems enter public life.

~2 min
02

A framework for ethical analysis

Introduces a practical way to evaluate responsibility, risk, and tradeoffs in AI systems, then applies it to a real-world case.

~11 min
03

Preparing an organization for responsible AI

Covers the organizational work of responsible adoption, including data practices, technology teams, C-suite oversight, board governance, customer engagement, and internal communication.

~25 min
04

Building a habit of continual questioning

Closes with an approach to ongoing reflection and institutional accountability as AI capabilities continue to change.

~2 min

About the Instructor

Vilas Dhar is President of the Patrick J. McGovern Foundation, a $1.5 billion philanthropy focused on AI and data for public purpose. He has served on the United Nations Secretary-General's High-Level Advisory Body on Artificial Intelligence and is the U.S. Government's nominated expert to the Global Partnership on AI.

Trained in computer science, law, and public policy, he holds a J.D. from New York University School of Law, an MPA from the Harvard Kennedy School, and undergraduate degrees in biomedical engineering and computer science from the University of Illinois Urbana-Champaign. He writes and speaks widely on AI governance, institutions, and the public responsibilities of technological power.

Full biography →

"Ethics is not a constraint on innovation. It is the condition for innovation that lasts."

Vilas Dhar

Start Learning Today

Available on LinkedIn Learning and included with LinkedIn Premium. 45 minutes. Beginner level. Available in six languages.

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