Gen AI For Sustainability
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Gen AI For Sustainability
This course is part of multiple programs.
Instructors: Joyce Wong
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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
- Responsible AI
- Climate Change Mitigation
- Data Ethics
- Problem Solving
- Artificial Intelligence
- Sustainability Reporting
- AI literacy
- Social Impact
- Corporate Sustainability
- Business Ethics
- Environmental Social And Corporate Governance (ESG)
- Sustainable Systems
- Sustainable Development
- Diversity Equity and Inclusion Initiatives
- Environmental Issue
- Content Strategy
- Diversity and Inclusion
- Sustainable Business
Tools you'll learn
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There is 1 module in 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.
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
26 videos•Total 242 minutes
- Welcome and Course Overview •6 minutes
- Introduction to GenAI •3 minutes
- Sustainability Challenges & AI’s Role •4 minutes
- What is Generative AI•9 minutes
- Benefits of GenAI for Businesses & Sustainability •5 minutes
- What is Sustainability •6 minutes
- UN SDGs and Sustainability Frameworks •12 minutes
- AI for ESG Data Tracking and GenAI for Modelling and Scenario Planning •10 minutes
- Interview Call With Max Mizi: Introduction on AI Meets Sustainability•17 minutes
- Interview Call With Max Mizi: GitHub’s Role in Climate Tech and Green Software•14 minutes
- Interview Call With Max Mizi: How GitHub Supports Global Green Innovation•17 minutes
- AI for Sustainability Transition Strategization •8 minutes
- AI in Circular Economy & Eco-Design •8 minutes
- AI in Education & Accessibility •8 minutes
- Interview Call With Louis: Introduction to Decisions Lab•7 minutes
- Interview Call with Louis: Personalizing Marketing with Generative AI •14 minutes
- Interview Call with Louis: From AI Personas to Real-World Impact in the Social Sector•19 minutes
- AI for Social Impact & Nonprofits •7 minutes
- AI for Workplace Diversity & Inclusion •12 minutes
- Accessible Healthcare Information and Support •9 minutes
- Environmental Cost of AI Training & Usage •9 minutes
- Strategies for Greener AI Models •9 minutes
- Detect Coded Biases •8 minutes
- Understand the Limitations of AI •11 minutes
- Designing Sustainability Initiatives with GenAI •6 minutes
- Course Wrap-Up Video•6 minutes
5 readings•Total 25 minutes
- Welcome to the Course: Course Overview•5 minutes
- GenAI for the Global Goals•5 minutes
- How Supply Chains Benefit From Using Generative AI•5 minutes
- AI for Social Good•5 minutes
- Generative AI’s Environmental Impact•5 minutes
4 assignments•Total 80 minutes
- Introduction to Generative AI and Sustainability •20 minutes
- GenAI for Climate Action and Circular Economy•20 minutes
- GenAI for Equity, Inclusion, and Social Good •20 minutes
- Ethical and Environmental Challenges of AI •20 minutes
3 peer reviews•Total 80 minutes
- Hands-On-Learning: Interactive Activity: Ideating AI & Sustainability Use Cases •10 minutes
- Hands-On-Learning: Our Digital Carbon Footprint•10 minutes
- Project: Real-World Solutions with Generative AI•60 minutes
4 discussion prompts•Total 20 minutes
- Business Tech Strategy for Sustainable Development •5 minutes
- Leveraging AI for Environmental Sustainability •5 minutes
- Leveraging GenAI for Personalized Learning •5 minutes
- Mitigating Harms of AI and Gen AI •5 minutes
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