Presentation Open Access

Algorithmic Impact Assessment: Fairness, Robustness and Explainability in Automated Decision-Making

Koshiyama, Adriano; Engin, Zeynep

The workshop session focuses on the following topics: 

  • Introduction to AI & Machine Learning (Algorithms)
  • Key Components of Algorithmic Impact Assessment
  • Algorithmic Explainability
  • Algorithmic Fairness
  • Algorithmic Robustness

Files (5.0 MB)
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A - Algorithmic Impact Assessment - Adriano Koshiyama.pdf
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AI Assessment Canvas - Clean.pdf
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AI Assessment Canvas - Clean.png
md5:cc6f78c50b95fa28eac2151c8f54ba34
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AI Assessment Canvas.pdf
md5:5816a86558b6d6c72dcefb5496028f1e
204.8 kB Download
AI Assessment Canvas.png
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Diversity, non-discrimination and fairness checklist.docx
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16.9 kB Download
Explainability checklist.docx
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Fairness, Transparency and Robustness in Automated Decision Making - V0.docx
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338.3 kB Download
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