Artificial Intelligence (AI) for Social Impact

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Course Information

Title

Artificial Intelligence (AI) for Social Impact

Duration

1 hour 10 minutes

About the Course

This course is designed for policymakers, and anyone interested in learning about AI and its potential—especially about how it can be harnessed to foster positive societal change. It delivers solid foundational knowledge on AI, upon which more advanced applications can be built.

Whether to shape policies, develop innovative solutions, or simply deepen your understanding of the rapidly evolving field, this course serves as a vital starting point for thinking about how AI can contribute to a more ethical, responsible, and inclusive future for all.

It covers AI fundamentals including explanation of terminologies, and practical uses—providing insights into Generative AI (genAI), how it operates and its current applications. Importantly, related ethical considerations are discussed, as well as cutting-edge developments in AI for social impact.

This course consists of 3 units:

  • Unit 1: Introduction to AI (28 minutes)

  • Unit 2: AI Ethics and Governing AI (17 minutes)

  • Unit 3: AI and Social Impact in Asia and the Pacific (25 minutes)

Upon completing all units, participants will be equipped with the understanding and skills to navigate the intersection of AI and social change with confidence.

Learning Objectives

  • Understand fundamental AI terminologies, as well as the historical and social factors that facilitated AI’s emergence.
  • Learn about the capabilities of AI technologies and systems.
  • Learn the basic principles of AI governance and contemporary approaches to governing AI around the world.

How to Complete this e-Course

  • Watch 3 short video lessons
  • Review open access reading materials
  • Successfully pass quiz with a score of 8/10 or higher
  • Answer feedback questions
  • Certificate with unique ID will be issued upon completion of course requirements

Lecturer

Dang Nguyen, Research Fellow ARC Centre of Excellence for Automated Decision-Making & Society RMIT University, Australia

Contact

Lilian Tan, E-Learning Consultant, Asian Development Bank Institute

Email: [email protected]

Reading list

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