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Causal Artificial Intelligence
book

Causal Artificial Intelligence

by Judith S. Hurwitz, John K. Thompson
October 2023
Beginner to intermediate
384 pages
7h 58m
English
Wiley
Content preview from Causal Artificial Intelligence

Index

  • A
  • action, taking, 40–42
  • Advanced Analytics model, 11, 299
  • agent-based modeling, for creating synthetic data, 215
  • agriculture use case, 242–250
  • AI Fairness 360 (AIF360), 182
  • algorithms, 180, 299
  • ALICE, 321
  • Amazon Redshift, 197
  • Amazon Web Service (AWS) Data Exchange, 197
  • analytical sophistication model, 8–11
  • analytics
    • causal AI in perspective with, 7–8
    • collaboration between business leaders and professionals of, 72–74
  • Analytics Enablers model, 10
  • Analytics model, 10
  • anonymization, 198
  • application programming interfaces (APIs), 196, 202, 207
  • Applied Econometric Methods for Causal Inference, 325
  • artificial intelligence (AI)
    • causal AI as next generation of, 43–46
    • ensuring responsible, 175–184
    • integrating with causal AI, 278–279
    • merging with causal AI models, 291
    • promise of, 14–15
  • Asana, 192
  • association, in Ladder of Causation, 39, 40
  • augmented intelligence
    • causal AI and, 26
    • defined, 299
    • importance of, 51–52
  • AWS (Amazon Web Service) Data Exchange, 197
  • Azua, 314
  • B
  • backdoor criterion, 299
  • backdoor paths
    • about, 85–86, 108–109
    • as a core concept of causal AI, 23–24
    • defined, 299
  • Barenboim, Elias, 117–118
  • Barrett, Malcolm, 109
  • Bayesian networks, 34–35, 300
  • Bayesian optimization, 206
  • Beautiful Soup, 196, 216
  • belief networks, 34–35, 300
  • bench testing, 234–236
  • BETS (Bootstrap Elastic net regression from Time Series), 216, 282, 323
  • BI (business intelligence), 277
  • bias. See also bias detection
    • avoiding, 3
    • in causal AI systems, 176–178
    • defined, 299
    • demographic, 179
    • tools ...
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Publisher Resources

ISBN: 9781394184132Purchase Link