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Project Overview
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Classroom Contents
Picking on the Same Person - Does Algorithmic Monoculture Homogenize Outcomes?
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- 1 Introduction
- 2 Project Overview
- 3 Case Scenario
- 4 Algorithmic Monoculture
- 5 Same Data Sets
- 6 Data Sets
- 7 Foundation Models
- 8 Name Artifacts
- 9 Name Sentiment
- 10 Question
- 11 Key Findings
- 12 Systemic Failure
- 13 Formalizing the Metric
- 14 Looking at Census Records
- 15 Facial Recognition Data
- 16 Ethical Dimension
- 17 Is there a tradeoff
- 18 Is this discrimination
- 19 Federally protected categories
- 20 Homogenation and bias
- 21 Fairness gerrymandering
- 22 Contractualism
- 23 Effect on Democracy
- 24 Effect on Autonomy
- 25 Threshold
- 26 Wallser
- 27 Conclusion
- 28 Questions
- 29 Discrimination
- 30 Application
- 31 Risks
