Gen AI For Sustainability
By External Provider
About this course
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. Designed for sustainability professionals, social impact leaders, and AI practitioners, the course blends theory with practice. You’ll examine real-world applications such as AI-powered sustainability strategy, supply chain decarbonization, circular economy design, and social inclusion initiatives. At the same time, you’ll critically evaluate AI’s ecological footprint, ethical risks, and potential to reinforce or reduce inequality. Through case studies, discussions, and applied projects, you’ll gain the tools to design, assess, and implement responsible AI solutions in sustainability contexts. By the end, you’ll not only understand GenAI’s potential—you’ll be prepared to lead informed conversations and drive meaningful, ethical change in your organization or community.
What you will 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.