Luke Munn

Safety Research · 2022

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Luke Munn trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Thilo Hagendorff
  2. Luciano Floridi
  3. Brent Daniel Mittelstadt
  4. Tony Doyle
  5. Wanda J. Orlikowski
  6. Timothy W. Luke
  7. Timnit Gebru
  8. Joy Buolamwini
  9. Shakir Mohamed
  10. Jessica Morley

Who trusts Luke Munn overall

  1. Tita Alissa Bach

Papers from Luke Munn's perspective

Ordered by how strongly the researchers Luke Munn trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
  2. Datasheets for datasets
  3. Principles alone cannot guarantee ethical AI
  4. Translating Principles into Practices of Digital Ethics: Five Risks of Being Unethical (Philosophy & Technology)
  5. Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence
  6. Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing
  7. A Unified Framework of Five Principles for AI in Society
  8. ImageNet classification with deep convolutional neural networks
  9. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
  10. You cannot have AI ethics without ethics

Their papers