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Decarbonising Digital - Responsible AI
Introduction
Welcome to Responsible AI
Course Objectives and Overview
Why Should We Care?
Introduction
1.1. The Growth of AI
1.2. The Dilemma
1.3. Why Measurement is Key
1.4. Regulation
References
AI 101
Introduction
2.1. The Fundamentals
2.2. Algorithms and Models
2.3. AI Programming Languages
2.4. The Importance of Data
2.5. The Evolution of AI
2.6. The AI Life Cycle
References
Ethical Design and Culture
Introduction
3.1. Ethical AI Design
3.2. Responsible AI
3.3. The Role of the Cloud
3.4. A Culture Change is Needed
References
Net-Benefit and Value?
Introduction
4.1. A (Fuller) Response to the Dilemma
4.2. A Game-Changer
4.3. Circularity and AI
4.4. AI and the UN Sustainable Development Goals
References
Measurement and Moving Forward
Introduction
5.1. Measurement of AI's Environmental Impact
5.2. Measuring Impact on Nature, Biodiversity and Humans
5.3. Targeted Measurement at Training and Inference Stages
References
Conclusion
Review of Course Material
Next Steps in Your AI Journey
5.3. Targeted Measurement at Training and Inference Stages
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