Risk in the Age of AI · Ahsan Rahman · AR Resources

Modern Risk Assessment From Static to Dynamic: Methods for Connected, Complex and Sustainable Systems

HAZOP · FMEA · LOPA · Fault Trees · Monte Carlo · Bayesian Networks · AI Risk

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Most risk assessments are photographs.
This book teaches you to keep risk live.

A risk assessment is usually done once, approved and filed, while the system keeps changing. Equipment ages, safeguards get bypassed, the climate warms and attackers learn. This book teaches you to keep risk live, not static.

It starts from first principles and builds the full classical toolkit step by step: HAZID, HAZOP, fishbone, bow-tie, FMEA, LOPA, fault trees, event trees, Markov models, Monte Carlo and Bayesian networks. It then carries these methods into the AI era. You will learn how to update risk as data arrive, and how to assess the risks of AI systems themselves, from aircraft to smart cities.

Inside the book

  • 23 chapters in 6 parts, 372 pages, written in the classic textbook tradition
  • Worked examples, solved problems and exercises in every chapter
  • 60 step-by-step algorithms, plus a free Python companion with tested code for every one
  • "From Static to Dynamic" notes linking each classical method to live, data-driven practice
  • New chapters on dynamic risk assessment, the risks of AI systems and the future of risk assessment

Don't skip the last pages

The book ends with three pages left open on purpose: Risks Not Yet Named, Methods Not Yet Invented and Lessons Not Yet Learned. They are not missing content. They stand for the future that no book can yet describe, and they are meant to be read and thought about. Some will be filled in future editions. Others may be filled by you.

Who this book is for

Students, lecturers, engineers, HSE professionals, project managers and anyone who wants to assess risk with rigour.

The full book is free

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