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Table of Contents
Intro
Contents
Contributors
Part I: AIxSDGs: Theory and Governance
Introduction: Understanding the Ethics of Artificial Intelligence for the Sustainable Development Goals
References
AI in Support of the SDGs: Six Recurring Challenges and Related Opportunities Identified Through Use Cases
1 Introduction
2 Governance and Collaboration
2.1 The Challenges
2.2 The Opportunities
3 Private Investments and the Role of Big Tech Companies
3.1 The Challenges
3.2 The Opportunities
4 AI and Communities
4.1 The Challenges
4.2 The Opportunities
5 AI and Individuals
5.1 The Challenges
5.2 The Opportunities
6 Jobs and Skills
6.1 The Challenges
6.2 The Opportunities
7 Impact Assessment
7.1 The Challenges
7.2 The Opportunities
8 Evaluation and Limitations
9 Concluding Remarks
References
Joined Up Thinking on How AI Can Contribute to the SDGs
1 Background on AI for the SDGs and Changing Landscapes of R&D
2 Misalignment of R&D/STI and the SDGs
3 AI in the Context of Intelligence for the SDGs
4 From Supply Push to Demand Pull
5 Climate Change, Data and AI
6 Conclusion
Untitled
A Realist's Account of AI for SDGs: Power, Inequality and AI in Community
1 Introduction
2 AI for Sustainable Development: The Hope, the Hype and the Narrative
3 Power, Inequality and Techno-solutionism
3.1 Power
3.2 Design and Deployment of AI and Social Inequality
4 Tech Companies Heralding a New Digital Colonialism?
4.1 Relationships of Dependency Affecting Vulnerable Communities
4.2 Problem with AI Ethics
5 Pathways to Sustainability
5.1 Defining Innovation
5.2 Theories and Systems Change
5.3 The Role of AI in Solutions
6 Digital Self-Determination
7 AI in Community for Communal Empowerment
8 Conclusion
References
The Potential of Artificial Intelligence for Achieving Healthy and Sustainable Societies
1 Introduction
2 Improved Health Through AI
2.1 Shortage of Healthcare Workforce
2.2 One Health and AI
2.3 GeoAI for Precision Medicine
2.4 Ethical and Societal Considerations
3 Towards Sustainable Cities with the Help of AI
3.1 AI for Extracting Climate-Related Indicators from Cities
3.1.1 Mapping
3.1.2 Predictive Models
3.1.3 Generative Models
3.1.4 Explainability
3.2 Non-intrusive Evaluation of Air Quality in Urban Areas Through AI
3.3 The Role of AI in Efficient and Sustainable Urban Mobility
4 AI for Ambitious Climate-Action Targets
4.1 The Potential Role of Artificial Intelligence to Combat Climate Change
4.2 AI in Support of Understanding Climate Change
4.3 AI in Support of Low-Carbon Energy Systems
4.4 AI in Service of Energy Efficiency
4.5 Engagement of AI on Climate Change
5 Conclusions and Outlook
References
Contents
Contributors
Part I: AIxSDGs: Theory and Governance
Introduction: Understanding the Ethics of Artificial Intelligence for the Sustainable Development Goals
References
AI in Support of the SDGs: Six Recurring Challenges and Related Opportunities Identified Through Use Cases
1 Introduction
2 Governance and Collaboration
2.1 The Challenges
2.2 The Opportunities
3 Private Investments and the Role of Big Tech Companies
3.1 The Challenges
3.2 The Opportunities
4 AI and Communities
4.1 The Challenges
4.2 The Opportunities
5 AI and Individuals
5.1 The Challenges
5.2 The Opportunities
6 Jobs and Skills
6.1 The Challenges
6.2 The Opportunities
7 Impact Assessment
7.1 The Challenges
7.2 The Opportunities
8 Evaluation and Limitations
9 Concluding Remarks
References
Joined Up Thinking on How AI Can Contribute to the SDGs
1 Background on AI for the SDGs and Changing Landscapes of R&D
2 Misalignment of R&D/STI and the SDGs
3 AI in the Context of Intelligence for the SDGs
4 From Supply Push to Demand Pull
5 Climate Change, Data and AI
6 Conclusion
Untitled
A Realist's Account of AI for SDGs: Power, Inequality and AI in Community
1 Introduction
2 AI for Sustainable Development: The Hope, the Hype and the Narrative
3 Power, Inequality and Techno-solutionism
3.1 Power
3.2 Design and Deployment of AI and Social Inequality
4 Tech Companies Heralding a New Digital Colonialism?
4.1 Relationships of Dependency Affecting Vulnerable Communities
4.2 Problem with AI Ethics
5 Pathways to Sustainability
5.1 Defining Innovation
5.2 Theories and Systems Change
5.3 The Role of AI in Solutions
6 Digital Self-Determination
7 AI in Community for Communal Empowerment
8 Conclusion
References
The Potential of Artificial Intelligence for Achieving Healthy and Sustainable Societies
1 Introduction
2 Improved Health Through AI
2.1 Shortage of Healthcare Workforce
2.2 One Health and AI
2.3 GeoAI for Precision Medicine
2.4 Ethical and Societal Considerations
3 Towards Sustainable Cities with the Help of AI
3.1 AI for Extracting Climate-Related Indicators from Cities
3.1.1 Mapping
3.1.2 Predictive Models
3.1.3 Generative Models
3.1.4 Explainability
3.2 Non-intrusive Evaluation of Air Quality in Urban Areas Through AI
3.3 The Role of AI in Efficient and Sustainable Urban Mobility
4 AI for Ambitious Climate-Action Targets
4.1 The Potential Role of Artificial Intelligence to Combat Climate Change
4.2 AI in Support of Understanding Climate Change
4.3 AI in Support of Low-Carbon Energy Systems
4.4 AI in Service of Energy Efficiency
4.5 Engagement of AI on Climate Change
5 Conclusions and Outlook
References