AI for Humanitarianism: Fostering Social Change Through Emerging Technologies
A Volume in Chapman & Hall/CRC Artificial Intelligence and Robotics Series.
This book will offer a comprehensive coverage of the intersection between AI and humanitarian work. This book will serve as a one-stop resource for readers interested in this unique and important intersection. The book will bridge the gap between AI practitioners and humanitarian professionals. This book will bring together these two fields and fosters mutual understanding and collaboration by making technical concepts accessible to non-technical readers and highlighting the real-world implications of AI in humanitarian work. This book will address the ethical considerations that come with using AI in humanitarian work, such as data privacy, algorithmic bias, and the potential for unintended consequences. This book will meet the need for thoughtful discussions on the responsible and ethical use of technology by tackling these important topics. This book will adopt an interdisciplinary approach allowing it to explore the technological, social, political, and ethical dimensions of AI in humanitarian work. This wide-ranging scope of this book will satisfy the need for resources that consider the complexities and nuances of using emerging technologies for social impact.
The research questions guiding this proposed book project include:
How are AI technologies currently being used in humanitarian contexts, and what are the most successful applications and outcomes to date?
What are the main challenges and obstacles that practitioners face when trying to integrate AI into humanitarian work, and how can they be addressed?
How can AI technologies be designed and deployed ethically in humanitarian contexts, particularly when working with vulnerable populations?
What role do local communities and beneficiaries play in the development and deployment of AI technologies for humanitarian work, and how can their input and agency be prioritized?
What tools, strategies, and best practices can be developed to support the effective and responsible integration of AI into humanitarian efforts?
How does the use of AI in humanitarian work relate to broader trends and debates in AI, technology, and social impact, and what can be learned from these intersections?
The proposed tentative content for this book is given below:
Relevance of AI in Humanitarian Contexts
Potential of AI for Social Impact
Addressing the SDGs with AI
Opportunities in Health, Education, and Poverty Reduction
Creating a Sustainable Ecosystem for AI-Driven Humanitarian Efforts
Collaborations between AI Practitioners and Humanitarian Organizations
The Role of Government and International Organizations
Building Partnerships for AI in Humanitarian Efforts
Financial and Funding Models
Traditional Funding in Humanitarian Work: An overview and its limitations.
Emerging Financial Models for AI-Humanitarian Initiatives: From impact investing to tech philanthropy.
Public-Private Partnerships: Merging the best of both worlds for social impact.
Crowdfunding and Grassroots Funding: Mobilizing the masses for tech-driven social change.
Economic and Social ROI: Measuring the returns on AI-humanitarian investments.
Open-source Tools and Collaborative Development
The Power of Open-Source: Why collaborative development accelerates impact.
Leading Open-Source Platforms for Humanitarian AI
Building and Sustaining a Collaborative AI Community
Infrastructure and Implementation in Resource-Limited Settings
Technologies for Off-Grid AI
Solar-Powered Data Centers
Low-Power AI Chips
Distributed Data Centers
Hybrid Cloud Solutions
Training and Capacity Building
Local Tech Hubs and Innovation Centers
Resilience and Maintenance
Challenges of Using AI in Humanitarian Work
Algorithmic Bias and Fairness Concerns
Data Privacy and Security Issues
Scalability and Generalization Challenges
Real-world Case Studies of Successful AI Applications
Lessons to be Learned from Failed Implementations
AI Applications in Disease Prediction
Improving Health Monitoring and Response
Addressing Health Disparities with AI
Tackling Educational Inequalities with AI
AI for Poverty Reduction and Economic Growth
Identifying Areas of Extreme Poverty with AI
Optimizing Resource Allocation for Aid Programs
Developing Solutions to Address Root Causes of Poverty
AI for Climate Action and Environmental Sustainability
AI Applications for Climate Modeling
Predicting and Addressing Extreme Weather Events
Optimizing Resource Use and Environmental Protection
Ethical Considerations in AI for Humanitarian Context
Ethical Principles for AI in Humanitarian Work
Avoiding Harm and Ensuring Transparency
Ethical Challenges and Potential Solutions
Future Trends and Considerations
Evolving Trends in AI and Humanitarian Work
Preparing for Challenges and Leveraging Opportunities
Nurturing a Culture of Innovation and Responsibility
Conclusion and Call to Action