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Introduction
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Classroom Contents
Positionality-Aware Machine Learning
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- 1 Introduction
- 2 Project Overview
- 3 Tutorial Structure
- 4 Examples
- 5 US Supreme Court
- 6 ICD
- 7 ImageNet
- 8 Goals
- 9 Mechanical objectivity
- 10 Positionality
- 11 Summary
- 12 Spectrogram
- 13 Accuracy
- 14 Generalized Workflow
- 15 Deliberation
- 16 Repetition
- 17 Feature Discovery
- 18 Feature Analysis
- 19 Three Perspectives
- 20 Technical Perspectives
- 21 Systems Perspectives
