AI-ML for Decision and Risk Analysis
Springer International Publishing (Verlag)
978-3-031-32015-6 (ISBN)
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.
Erscheinungsdatum | 07.07.2024 |
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Reihe/Serie | International Series in Operations Research & Management Science |
Zusatzinfo | XXIII, 433 p. 1 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Wirtschaft ► Allgemeines / Lexika |
Wirtschaft ► Betriebswirtschaft / Management | |
Schlagworte | Applications • Artificial Intelligence • Causal Artificial Intelligence • Causal Models • COVID-19 Risk Management • Deep learning • machine learning • Normative Decision Theory • Public Health Care • Risk Management |
ISBN-10 | 3-031-32015-8 / 3031320158 |
ISBN-13 | 978-3-031-32015-6 / 9783031320156 |
Zustand | Neuware |
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