Full Description
This open access volume showcases a series of models - particularly agent-based simulations - that explore pressing issues on national policy agendas, engaging with frontier questions around artificial intelligence (AI), welfare-related social assessment, and value diversity. These themes have profound implications for policy, cultural and societal life. The volume underscores the role of policy modelling in addressing how AI can be made context-specific, adaptive, and responsive within the public sector. Drawing on case studies from nine countries with differing value frameworks, the models examine welfare service provision choices and assess the demands, limitations, and effects of using AI to augment or replace traditional practices. The analyses reflect the pluralism of societal norms and values, while also considering the political, economic, and social pressures that shape them. The volume advocates for a participatory methodology and socio-technical infrastructure that can enable the development of more responsible, value-sensitive, and context-aware AI, and policies to implement it. By situating AI research, innovation and policy in close collaboration with society, it offers a fresh perspective for industry and innovation leaders. Ultimately, it presents a model for how participatory design and responsible technology production can better meet societal needs.
Contents
Chapter 1. Participatory Artificial Intelligence in Public Social Services: Modelling for Policy and Practice.- Part I: Agent-based Models for Social Services Assessment.- Chapter 2. Agent-Based Modelling for Context-Aware AI Systems: Reflections from AI FORA.- Chapter 3. Modelling Together for AI-based Social Services.- Chapter 4. Using Agent-Based Modelling to explore possible implications of AI use in the asylum procedure in Germany.- Chapter 5. Gamifying Fairness: Exploring Algorithmic Decision-Making in Estonia's Welfare System.- Chapter 6. Targeted Subsidies Plan: An Agent-Based Modeling Approach.-Chapter 7. Agent-Based Modelling of the Indian Public Distribution System in AI FORA.- Part I: Policy Modelling for Policy Practice.- Chapter 8. Policy Learnings and Policy Change for AI-based Social Services.- Chapter 9. Policy Perspectives on AI Use for Asylum-Related Assessment Processes in Germany.- Chapter 10. Bridging Data and Policy: Disseminating Scientific Insights in Estonia's AI-Driven Welfare Governance.- Chapter 11. Translating Evidence to Practice - A Trojan Horse Approach.- Part III: Looking to the Future.- Chapter 12. Better AI for Public Good: Participatory Modelling and Simulation in Social Services.- Chapter 13. How Participatory Modeling Can Enable Collective Bias Mitigation when AI is Used Across Systems and Institutions.- Chapter 14. Transferring the AI FORA Approach to another Domain: Participatory AI for Climate.- Chapter 15. Collaborative Creativity in Extended Realities Findings from Co-Creative Design Sessions in Augmented and Virtual Reality.- Chapter 16. Participatory Modelling for 'Better AI'.
