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&amp -- D -- 2 Misalignment of R&amp -- 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 -- Artificial Intelligence: Poverty Alleviation, Healthcare, Education, and Reduced Inequalities in a Post-COVID World -- 1 The UN SDGs -- 2 A Brief Exploration of Various Theories of Poverty -- 3 The Relevant Connection of AI to Poverty Alleviation -- 4 Healthcare -- 5 Education -- 6 Conclusion -- References -- Missing Circles: A Dignitarian Approach to Doughnut Economics Through AI Applications -- 1 Introduction -- 2 The Doughnut Model -- 3 Dignity, But Which One -- 3.1 Traditional Conceptualisations of Human Dignity -- 3.2 A Shift in Ethics: From Agents to Patients -- 3.3 The Doughnut's Allegiance -- 4 The AI and the Doughnut -- 4.1 Threatening the Boundaries -- 4.2 The Missing Circles -- 5 Conclusions -- References -- The Role of AI in SDG: An African Perspective -- 1 Introduction -- 1.1 AI and SDG -- 1.2 AI and SDG 3: Current State in Africa Today.

1.3 AI and SDG 16: Current State in Africa Today -- 2 Challenges of Integrating AI in the SDGs -- 3 Discussions and Way Forward -- 4 Conclusion -- References -- Artificial Intelligence for Advancing Sustainable Development Goals (SDGs): An Inclusive Democratized Low-Code Approach -- 1 Introduction -- 2 Research Problem and Research Questions -- 3 Methods -- 3.1 Rationale for Using the AI-Based Bayesian Network Approach -- 3.2 The Bayesian Theorem -- 3.3 The Research Model -- 4 Discussion -- 4.1 Example 1: An Inclusive and Democratized Low-Code Approach of Using AI for Global Sustainable Development -- 4.1.1 Environmental Performance Index -- 4.1.2 How Unified Analytics of Sustainability Indicators (Related to EPI and SDGI) Can Inform Education and Policymaking -- 4.2 Example 2: An Inclusive and Democratized Low-Code Approach of Using AI for Ameliorating Malnutrition -- 4.3 Example 3: An Inclusive and Democratized Low-Code Approach of Using AI for Financial Inclusion -- 4.4 Example 4: An Inclusive and Democratized Low-Code Approach of Using AI for Improving Food Security -- 5 Conclusion -- References -- Ethical AI: The European Approach to Achieving the SDGs Through AI -- 1 AI Legal Framework in Europe: How Did Europe Get Here -- 2 The Sustainable Development Goals and Their Connections with the Development of the AI Legal Framework -- 3 Characteristics of the AI Regulation Proposal That May Foster the Achievement of SDGs -- 4 Aspects of the AI Regulation Proposal That May Hinder the Completion of the SDGs -- 5 Conclusions -- References -- AI as a SusTech Solution: Enabling AI and Other 4IR Technologies to Drive Sustainable Development Through Value Chains -- 1 Challenge -- 2 Solution -- 2.1 Create a Sustainable Technology Board -- 2.1.1 Provide a Platform for Cooperation -- 2.1.2 Generate Analysis and Options -- 2.1.3 Develop Standards and Guidelines.

2.1.4 Precedent and Practice -- 2.2 Barriers and Solutions to SusTech Adoption -- 2.2.1 Establish 'Data Trusts' to Share Data Safely and Securely -- 2.2.2 Use Homomorphic Encryption to Share Data Safely and Securely -- 2.2.3 Adopt a Typology for Data to Facilitate Management and Sharing -- 2.2.4 Ensure Right-Skilling Programmes Match Skills Supply to Skills Demand -- 2.2.5 Develop Innovative Technology Finance (TechFin) Instruments -- 2.2.6 Orient Investment Incentives to Encourage the Uptake of SusTech Solutions -- 2.2.7 Incorporate Non-equity Modes or Strategic Partnerships in Domestic and International Policy Frameworks -- 2.2.8 Use Performance-Based Regulation to Balance Flexibility with Oversight -- 2.2.9 Use Sustainability Impact Assessments -- 2.2.10 Ensure Equivalency Agreements on Standards and Certifications -- 2.2.11 Build Living Labs and (International) Regulatory Sandboxes -- 2.3 Examples of SusTech in Action -- 2.3.1 Artificial Intelligence -- 2.3.2 Blockchain -- 2.3.3 Internet of Things -- 2.3.4 Automation and Drones -- 2.3.5 Augmented and Virtual Reality -- 3 Conclusion -- References -- Untitled -- Untitled -- AI for Sustainable Finance: Governance Mechanisms for Institutional and Societal Approaches -- 1 Introduction -- 2 AI and the SDGs -- 3 The Promise of AI for Sustainable Finance -- 3.1 A Brief History -- 3.2 Recent Governance Responses -- 4 Institutional and Societal Approaches -- 4.1 ESG Investing -- 4.1.1 Related Governance Challenges -- 4.2 Financial Inclusion -- 4.2.1 Related Governance Challenges -- 5 Navigating Through a Pandemic -- 5.1 COVID-19: A "Natural Experiment" -- 5.1.1 Related Governance Challenges -- 6 Key Policy Considerations -- 6.1 Mitigate Unintended Social and Environmental Consequences -- 6.2 Promote ESG Disclosure -- 6.3 Strengthen Cross-Sector Partnerships -- 7 Conclusion -- Works Cited.

Big Tech Corporations and AI: A Social License to Operate and Multi-Stakeholder Partnerships in the Digital Age -- 1 Introduction -- 2 UNs SDGs Framework and Its Link with AI Challenges and Impacts -- 2.1 The When and Why of the UN SDGs -- 2.2 AI for Social Good -- 3 Towards Sustainable Digital Business Models: Some Reflections on the Co-presence of Different Spheres and Values -- 4 The Need for a 'Social License to Operate' in the Digital Age -- 5 Conclusion -- References -- Part II: AIxSDGs: Existing and Potential Use Cases -- A Legal Identity for All Through Artificial Intelligence: Benefits and Drawbacks in Using AI Algorithms to Accomplish SDG 16.9 -- 1 Introduction -- 2 The Concept of Identity: External Variables and Internal Dimension -- 2.1 Different Societies, Different Identities -- 3 Artificial Intelligence and Identity -- 3.1 AI-Based Identification Procedures in the Migration Context -- 3.2 Artificial Intelligence for Identification Purposes: The EU Experience -- 4 AI-Based Devices for Identification Purposes: Ethical Concerns and Legal Issues -- 4.1 Artificial Intelligence and the Principle of Non-discrimination in the Context of Identification Operations -- 4.2 Artificial Intelligence, Privacy Rights and Identity Issues -- 5 Concluding Remarks and Recommendations -- References -- Socially Good AI Contributions for the Implementation of Sustainable Development in Mountain Communities Through an Inclusive Student-Engaged Learning Model -- 1 Introduction -- 2 History and Background -- 3 Why Focus on Sustainable Development in Mountains? -- 3.1 Mountain-Focused IT and IS Specialization Initiatives -- 3.2 Contributions of Education to the Implementation of the Agenda Based on Socially Good Principles -- 4 Goals and Targets Related to SMD -- 4.1 Inclusive Student-Engaged Learning as a Foundation for a Socially Good Implementation of SMD.

4.2 Examples of Socially Good SMD Advocacy and IoT Use Within the Adapted SEL Model.

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