Sustainability and artificial intelligence are two of the most transformative forces of our time—and their intersection is shaping the future of business, policy, and society. This course explores how Generative AI (GenAI) can be strategically applied to drive environmental and social impact while addressing its risks and limitations.



Gen AI For Sustainability
This course is part of multiple programs.


Instructors: Joyce Wong
Access provided by Gameopedia
Recommended experience
What you'll learn
Explain the basics of Gen AI, its key competencies, potential benefits, ethical considerations, and limitations.
Analyze the systemic aspects of environmental and social sustainability and potential application of Gen AI.
Apply learnings and insights from real-world use cases, and ideate their own Gen AI for sustainability projects.
Evaluate the feasibility and robustness of Gen AI for sustainability projects.
Skills you'll gain
- Diversity and Inclusion
- Climate Change Mitigation
- Problem Solving
- Corporate Sustainability
- Business Ethics
- Content Strategy
- Environmental Social And Corporate Governance (ESG)
- Sustainable Systems
- Sustainable Development
- Sustainability Reporting
- Supply Chain Planning
- Data Ethics
- Generative AI
- Environmental Monitoring
- Responsible AI
- Case Studies
- Artificial Intelligence
Details to know

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4 assignments
June 2025
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There is 1 module in this course
In this course, you’ll explore the intersection of Generative AI and sustainability, examining how AI can drive social and environmental impact. Through hands-on case studies and ideation, you’ll learn to develop AI-powered sustainability strategies, such as supply chain decarbonization and circular economy design. You’ll also analyze AI’s ethical and environmental implications, ensuring responsible deployment and fostering fairness and inclusivity in sustainability efforts.
What's included
26 videos5 readings4 assignments3 peer reviews4 discussion prompts
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