Generative AI for Sustainability

Overview

Welcome to “Generative AI for Sustainability”! If you’re ready to explore how cutting-edge AI technologies can drive meaningful change in environmental, social, and governance (ESG) initiatives, this course is tailored just for you.

In this dynamic program, you’ll start by diving into the world of generative AI through an in-depth look at tools like ChatGPT and Microsoft Copilot. You’ll learn how these platforms work, master the art of crafting effective prompts, and understand their capabilities and limitations.

Syllabus

• Introduction to Generative AI
Overview of AI and machine learning
Introduction to generative models
Key applications in sustainability
• Understanding Generative AI Tools
Detailed exploration of ChatGPT
Exploration of Microsoft Copilot
Comparison of various generative AI platforms
• Effective Prompt Engineering
Principles of crafting effective prompts
Practices for optimizing AI outputs
Case studies on successful prompt usage
• Capabilities and Limitations of Generative AI
Strengths of generative AI in sustainability
Ethical considerations and limitations
Bias and fairness in AI outputs
• AI for Environmental Initiatives
AI-driven environmental monitoring
Generative AI for resource management
Case studies in reducing carbon footprint
• AI for Social Impact
Enhancing social equity through AI
Improving community engagement
Case studies in social innovation
• Governance and Policy Implications
Regulatory challenges and considerations
Integrating AI tools in ESG strategies
Future trends in AI governance
• Project Development and Implementation
Designing an AI project for sustainability
Evaluation and impact assessment
Presentation of project proposals
• Conclusion and Future Outlook
Reflections on learning outcomes
Discussion on the future of AI in sustainability
Opportunities for further research and development

Taught by

Eduardo Aponte R.

Subjects

Computer Science