AI-ML for Decision and Risk Analysis Challenges and Opportunities for Normative Decision Theory
This book explains and illustrates recent developments and advances in decision-making and risk analysis. It demonstrates how artificial intelligence (AI) and machine learning (ML) have not only benefitted from classical decision analysis concepts such as expected utility maximization but have also...
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2023, 2023
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| Edition: | 1st ed. 2023 |
| Series: | International Series in Operations Research & Management Science
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| Subjects: | |
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| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Part I. Received Wisdom
- 1.Rational Decision and Risk Analysis and Irrational Human Behavior
- 2.Data Analytics and Modeling for Improving Decisions
- 3. Natural, Artificial, and Social Intelligence for Decision-Making
- Part 2: Fundamental Challenges for Practical Decision Theory
- 4.Answerable and Unanswerable Questions in Decision and Risk Analysis
- 5.Decision Theory
- 6.Learning Aversion in Benefit-Cost Analysis with Uncertainty
- Part 3: Ways forward 7.Addressing Wicked Problems and Deep Uncertainties in Risk Analysis
- 8.Muddling Through and Deep Learning for Bureaucratic Decision-Making
- 9.Causally Explainable Decision Recommendations using Causal Artificial Intelligence
- Part 4: Public Health Applications
- 10. Re-Assessing Human Mortality Risks Attributed to Agricultural Air Pollution: Insights from Causal Artificial Intelligence
- 11.Toward more Practical Causal Epidemiology and Health Risk Assessment Using Causal Artificial Intelligence
- 12. Clarifyingthe Meaning of Exposure-Response Curves with Causal AI
- 13. Pushing Back on AI: A Dialogue with ChatGPT
- Index