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The Algorithmic Insurer: How AI Is Transforming Authority, Accountability and Decision Making in Insurance
Paperback
Publisher: Independently Published
Published: Aug 17 2026
Pages: 210
Weight: 0.55
Height: 0.44 Width: 5.50 Depth: 8.50
Language: English
The Algorithmic Insurer explores one of the most important questions facing the insurance industry today:
When artificial intelligence begins making decisions, who remains accountable for the consequences?
Artificial intelligence is reshaping insurance. It can analyse risks in seconds, automate underwriting, detect fraud, process claims, personalise pricing, and power increasingly autonomous customer interactions. Yet as algorithms move from providing information to influencing and executing decisions, a deeper challenge emerges: the challenge of governance.
In this groundbreaking book, Dr. Ibrahim Hikmat Karam introduces a comprehensive framework for governing AI driven insurance systems in a world where decision making is rapidly becoming automated. Moving beyond discussions of technology and ethics alone, the book examines how authority is delegated, how accountability is preserved, and how insurance institutions can maintain trust while embracing innovation.
Through original models and practical governance tools, readers will discover:
- The Algorithmic Insurance Governance Model (AIGM)
- The Human Authority Threshold (HAT)
- The Decision Consequence Index (DCI)
- The Algorithmic Accountability Chain (AAC)
- The Safe Automation Envelope
- The Model Monoculture Factor
- Frameworks for explainability, fairness, contestability, and responsible autonomy
Drawing on global regulatory developments, real world case studies, governance principles, and decades of insurance experience, the book provides actionable guidance for boards, executives, regulators, brokers, underwriters, claims professionals, actuaries, risk managers, auditors, and technology leaders.
Rather than asking whether AI is good or bad, The Algorithmic Insurer asks the questions that matter:
What decisions should machines be allowed to make?
What decisions must remain human?
How can institutions ensure fairness, transparency, and accountability in an autonomous insurance world?
Timely, practical, and intellectually ambitious, this book offers a new blueprint for governing intelligence in one of the world's most important industries.
For professionals who believe technology can transform insurance, but that responsibility must always remain human.
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