Shaping Ethical, Transparent, and Equitable Urban Futures
Buch, Englisch, 332 Seiten, Format (B × H): 155 mm x 235 mm
ISBN: 978-3-032-31132-0
Verlag: Springer
This book presents a powerful ethical statement for the integration of Artificial Intelligence (AI) into urban environments, challenging technocratic assumptions by grounding smart city innovation in the principles of fairness, transparency, accountability, sustainability, and privacy. It establishes that intelligent urban systems cannot merely optimize performance—they must be morally legible, socially just, and legally compliant. The book argues that the city of the future must be governed not just by data, but by dignity, not just by efficiency, but by equity. The discussion begins by tackling the structural problem of algorithmic bias in urban AI systems, particularly in predictive policing, public service allocation, and transport optimization. Through a mathematically rigorous framework that includes Adversarial Debiasing, Fairness-Constrained Optimization, and Fairness-Aware Reinforcement Learning, the book introduces adaptive models that correct historical inequalities without compromising performance.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Regionalwissenschaften, Regionalstudien
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Geisteswissenschaften Philosophie Ethik, Moralphilosophie
- Sozialwissenschaften Politikwissenschaft Politische Systeme Kommunal-, Regional-, und Landespolitik
- Wirtschaftswissenschaften Volkswirtschaftslehre Wirtschaftspolitik, politische Ökonomie
- Geowissenschaften Umweltwissenschaften Nachhaltigkeit
Weitere Infos & Material
1. Ensuring Fairness, Transparency, and Accountability in AI-Driven Urban Governance.- 2. Transparency and Explainability in AI-Driven Urban Governance: Frameworks for Ethical, Accountable, and Participatory Intelligence.- 3. Ethically Governed AI Frameworks for Fair, Transparent, and Sustainable Urban Resource Management.- 4. AI-Driven Privacy, Fairness, and Transparency Frameworks for Urban Data Governance.- 5. Ethical Challenges of AI in Civil Engineering, Urban Development, and Governance.- 6. Fairness-Constrained Artificial Intelligence for Inclusive Urban Planning.- 7. Ethical AI Surveillance: Privacy-Preserving and Fairness-Aware Frameworks for Responsible Security Governance.




