AI-ML for Decision and Risk Analysis

Louis Anthony Cox ()
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Louis Anthony Cox: Cox Associates and University of Colorado

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2023
ISBN: 978-3-031-32013-2
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Chapters in this book:

Ch Chapter 1 Rational Decision and Risk Analysis and Irrational Human Behavior

Louis Anthony Cox

Ch Chapter 10 Re-Assessing Human Mortality Risks Attributed to Agricultural Air Pollution: Insights from Causal Artificial Intelligence

Louis Anthony Cox

Ch Chapter 11 Toward More Practical Causal Epidemiology and Health Risk Assessment Using Causal Artificial Intelligence

Louis Anthony Cox

Ch Chapter 12 Clarifying the Meaning of Exposure-Response Curves with Causal AI and ML

Louis Anthony Cox

Ch Chapter 13 Pushing Back on AI: A Dialogue with ChatGPT on Causal Inference in Epidemiology

Louis Anthony Cox

Ch Chapter 2 Data Analytics and Modeling for Improving Decisions

Louis Anthony Cox

Ch Chapter 3 Natural, Artificial, and Social Intelligence for Decision-Making

Louis Anthony Cox

Ch Chapter 4 Answerable and Unanswerable Questions in Decision and Risk Analysis

Louis Anthony Cox

Ch Chapter 5 Decision Theory Challenges for Catastrophic Risks and Community Resilience

Louis Anthony Cox

Ch Chapter 6 Learning Aversion in Benefit-Cost Analysis with Uncertainty

Louis Anthony Cox

Ch Chapter 7 Addressing Wicked Problems and Deep Uncertainties in Risk Analysis

Louis Anthony Cox

Ch Chapter 8 Muddling-Through and Deep Learning for Bureaucratic Decision-Making

Louis Anthony Cox

Ch Chapter 9 Causally Explainable Decision Recommendations Using Causal Artificial Intelligence

Louis Anthony Cox

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DOI: 10.1007/978-3-031-32013-2

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