AI, Responsibility, and Human Judgment
Why Answerability Matters When Intelligence Systems Work Too Well
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Beschreibung
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.
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.
Illustrates how modern decision systems quietly erode accountability, even when professionals act correctly Equips readers with practical tools to recognize and counter the loss of responsibility in complex institutions Shows why cultivating answerability is essential for sound judgment and governance in the age of AI
Autor*in
Iris Stammberger
Themen in »AI, Responsibility, and Human Judgment«
Professional responsibility Accountability Policy and governance Answerability Judgment Complex systems Institutional decision-making AI governance Organizational ethics Human–technology interaction Distributed responsibility Professional practice Algorithms and automation Practical wisdom Decision environments