Sustainability in the digital age: Environmental Impacts of AI Systems

Übersicht

Welcome to the "Sustainability in the Digital Age" series Artificial Intelligence (AI) offers transformative potential across industries, but its development and deployment come with environmental costs. The course covers topics such as the carbon footprint of AI models, methods for measuring and reporting environmental impacts, and challenges in estimating the sustainability of AI technologies.

Students will gain insights into energy and carbon accounting, along with case studies demonstrating how AI’s environmental footprint is assessed. The course aims to provide a comprehensive understanding of the relationship between AI and the environment, equipping learners with knowledge to contribute to more sustainable AI practices.

This course is part of the Sustainability in the Digital Age series, a collaborative project between colleagues from Stanford University, SAP and the Hasso Plattner Institute.

Lehrplan

• Introduction to AI and Sustainability
Overview of AI technologies and their transformative potential
Understanding sustainability in the context of AI
• Environmental Impacts of AI Systems
The carbon footprint of AI models
Energy consumption in AI training and inference
Lifecycle analysis of AI systems
• Measuring and Reporting Environmental Impacts
Methods for energy and carbon accounting
Tools and frameworks for environmental impact assessment
Reporting and transparency in AI's environmental impact
• Challenges in Estimating AI Sustainability
Assessing direct and indirect impacts
Barriers to accurate measurement and reporting
Ethical considerations and trade-offs
• Case Studies
Real-world examples of AI’s environmental footprint
Successful case studies in reducing AI's environmental impact
Lessons learned from industry and academia
• Strategies for Sustainable AI
Designing energy-efficient AI algorithms
Optimizing data centers and cloud services
Policy and regulation for sustainable AI development
• Future Directions and Innovations
Emerging technologies for sustainable AI
The role of AI in promoting sustainability across sectors
Collaborative efforts for a sustainable digital future
• Conclusion and Course Wrap-Up
Recap of key insights and learning outcomes
Opportunities for students to contribute to sustainable AI practices
Next steps and resources for continued learning
• Final Project and Assessment
Develop an environmental impact assessment for an AI technology
Propose solutions to mitigate the environmental impact of AI systems

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Unterrichtet von

Vanessa Parli

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Fachgebiete

Social Sciences