AI, Responsibility, and Human Judgment

Why Answerability Matters When Intelligence Systems Work Too Well
Erscheinungsjahr 2026
ISBN: 978-3-032-38487-4
Verlag: Springer

Buch, Englisch, 186 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Professional Practice in Governance and Public Organizations

In today's complex institutions, responsibility can become vague even when professionals do everything "right." This book explains why many failures are not caused by bad actors or poor skills, but rather by decision systems that function smoothly while leaving no one clearly accountable for their outcomes. As algorithms, dashboards, and standardized workflows influence more of our decisions, traditional notions of professional responsibility no longer align with the scale and speed of modern practices.

By introducing the concept of answerability as a central professional capacity, the book demonstrates how good decisions depend on staying responsive to the real human and material consequences of actions, especially when rules and roles offer no guidance. Through real-life examples, the book reveals how seemingly successful outcomes can be problematic, how apparently compliant decisions can undermine care, and how high-performing systems can quietly erode accountability.

Designed for professionals and policymakers, the book offers practical tools to strengthen judgment, attention, and modern wisdom in an age of AI-driven governance.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Stammberger, Iris

Fachgebiete

• Sozialwissenschaften Politikwissenschaft Politische Systeme Zentralregierung
• Geisteswissenschaften Philosophie Ethik, Moralphilosophie
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmenskultur, Corporate Governance
• Sozialwissenschaften Politikwissenschaft Politische Systeme Verwaltungswissenschaft, Öffentliche Verwaltung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Chapter 1. Introduction.- Part I: Orientation and Human Judgment.- Chapter 2. Orientation, Expertise, and Human Judgment.- Chapter 3. The Frames That Define Responsibility.- Chapter 4. When Optimization Narrows the World.- Part II: When Responsibility Is Not Enough.- Chapter 5. When Responsibility Is Not Enough.- Chapter 6. When Responsibility and Answerability Diverge.- Part III: AI and the Acceleration of Frame Drift.- Chapter 7. AI as Frame Drift Amplifier.- Chapter 8. The Loss of Reflective Slack.- Part IV: Cultivating Professional Answerability.- Chapter 9. Professional Orientation as Competence.- Chapter 10. Designing for Answerability.- Part V: Conclusion.- Chapter 11. Remaining Answerable.

Über Autor(innen)

Iris Stammberger is an organizational consultant, cognitive scientist, and educator whose work sits at the crossroads of human intelligence, technology, and decision-making. She studies how tools, institutions, and sociotechnical systems shape perception, judgment, and moral responsibility—especially as AI becomes embedded in everyday practice. Stammberger has worked internationally across higher education, international development, engineering, and biotechnology, advising both private and public organizations. She also leads professional development programs and organizational change workshops that help practitioners navigate complex decision environments.