12.Fig. 2.3: Expert Systems
13.Part II: Modeling of AI Applications for Public Health
14.Table 3.21: Some negative public health risks of self-modifying AI
15.Table 4.9: Part II: Some evaluation metrics for the impacts on individuals
16.Part III: Big Data in Public Health
17.Table 5.18: The needs for data privacy and security for substance abuse
18.Table 6.15: Metadata for AI-powered personal health records
19.Part IV: Cases Studies of AI Applications for Public Health
20.Table 7.5: Functions of equity-aware risk stratification model (EquiRisk)
21.Table 8.13: Key AI-powered tasks in feedback stage of PAPO model
22.Part V: Living with AI
23.Table 9.6: AI thinking partnership model (ATPM)
24.Table 10.4: The key processes of “AI-integrated scientific education”
26.Fig. 11.2: Long-time challenges of AI in public health
27.Table A.1: Guided questions for metacognitive learning
28.Table B.1: Meta-AI homework development framework
29.Table C.1: A sample of rubric for grading meta-AI homework for beginners
30.Appendix D: A List of Case Scenarios for the Evaluation Study Design
31.Appendix E. A List of Case Scenarios for AI Application Design
