Humane AI - The Covenant of Innovation

A Unified Theory for AI Governance
1. Auflage 2026
ISBN: 978-1-041-21492-2
Verlag: Taylor & Francis Ltd

Buch, Englisch, 464 Seiten, Format (B × H): 178 mm x 254 mm

Humane AI — The Covenant of Innovation argues that the defining question of our time is not how fast AI can advance, but what it leaves behind in its wake. As organizations race toward speed, scale, and profit, the book reveals a deeper story: AI is not just automating tasks — it is reshaping human capability, attention, judgment, and dignity. The authors show that the real frontier is not technological performance but the preservation of human resilience in a world increasingly mediated by machines.

Through vivid case studies in healthcare, education, finance, and public services, the book demonstrates how AI systems can either erode human skill or strengthen it; either narrow democratic agency or expand it. Drawing parallels to earlier waves of globalization — when factories moved to China and software moved to India — the authors argue that AI represents a new form of outsourcing: the outsourcing of humanity itself. What is at stake is not efficiency, but the future of human capability. Rather than offering another checklist or compliance framework, the book introduces a covenantal model of innovation — a way of designing and governing AI that protects human dignity, distributes power, and builds long-term institutional resilience. Tools like the Humane AI Compass help teams orient their decisions, but the deeper message is cultural: innovation must be accountable to the people it affects.

Accessible, rigorous, and grounded in real-world practice, Humane AI — The Covenant of Innovation is written for policymakers, technologists, educators, students, and citizens who believe that AI must serve humanity rather than hollow it out. It offers a hopeful but realistic vision: AI as a partner in human flourishing, not a force that quietly replaces the very capabilities that make us human.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Kowshik, Raghu Vijay

Sorenson, Peter Jay

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmensethik
• Geisteswissenschaften Philosophie Angewandte Ethik & Soziale Verantwortung Wissenschaftsethik, Technikethik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmenskommunikation
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

Part 1: Foundations of Humane AI  1. Understanding the Need for Humane AI 2. Designing Humane AI 3. Situating the Humane AI Compass 4. The Technical Imperative 5. The Commercial Imperative 6. From Human-Centered AI to Humane AI 7. The Necessity of Friction in Humane AI Part 2: The Architecture of Governance 8. The Human–AI Construct 9. The Humane AI System 10. The Unified Theory of Humane AI 11. Applying The Unified Theory of Humane AI 12. Humane AI In Practice 13. Global Applications of Humane AI Part 3: Democracy and Public Purpose 14. The Societal Imperative  15. Civic Participation and Democratic Oversight 16. Anthropomorphism, Trust, and Ethics 17. Citizen Empowerment and Participatory Governance 18. The AI Bubble, Economics, Trust, and Human-Centric Risk 19. The Regulatory Imperative Part 4: Innovation and Institutional Design 20.  Rethinking Innovation 21. The Global Stakes of Humane AI 22. The Institutional Architecture for Humane AI Governance 23. The Organizational Architecture for Humane AI Part 5: Futures and Horizons 24. Diverging Futures – Humane AI, Human-Centered AI, and the AI Divide

Über Autor(innen)

Raghu Vijay Kowshik is an information technology executive with deep experience leading large-scale programs in Fortune 500 supply chains. He specializes in translating emerging tech into operational wins and has guided organizations through digital and AI transformations. He holds a PhD in Information Systems Management from Walden University, an MBA from Texas Christian University, a BE in Electronics & Communication, a Diploma in Industrial Management, and a BS in Mathematics from Bangalore University, India.

Peter Jay Sorenson is an organization design strategist and educator who helps non-technical teams adopt AI responsibly. He has led cross-disciplinary teams through the challenges of COVID-19 as a professor and leader, helping develop innovative solutions in a rapidly changing world. Throughout the pandemic, Pete’s work has been driven by the need to redesign systems, address remote work complexities, and incorporate AI, making him an invaluable resource for organizations seeking resilience and new paths forward. Pete holds a master’s degree in Organizational Behavior from Brigham Young University.