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Expansion Units
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Classroom Contents
A Journey Towards Explainable AI and Its Societal Implications - From Trust Issues to Complex Models
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- 1 Introduction
- 2 Talk Structure
- 3 Why is this required
- 4 Trust Issues
- 5 Expression
- 6 Visualisation
- 7 Expansion Units
- 8 Knowledge Base Linking
- 9 Counterfeiture estimations
- 10 Characteristics of an explanation model
- 11 Output of an explanation model
- 12 Algorithm Line 1
- 13 Multiclass transmission
- 14 Globalist connections
- 15 Complex reasoning tasks
- 16 Vanguard problems
- 17 Attention weights
- 18 Informational tasks
- 19 Complex models
- 20 Information interval
- 21 Sakaya 2019
- 22 Sampling
- 23 Output
- 24 Weights of Atoms
- 25 Noise Contrast to Estimation
- 26 Equation
- 27 Societal Implications
- 28 Conclusion
- 29 Questions
- 30 Local Fidelity
