Carsten Schwemmer

Safety, Robustness & Interpretability · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Carsten Schwemmer trusts overall

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

  1. Nick Seaver
  2. Cecilia L. Ridgeway
  3. Joy Buolamwini
  4. C. Huff
  5. Kate Crawford
  6. P. England
  7. Sam Corbett-Davies
  8. L. Jason Anastasopoulos
  9. Shelley J. Correll
  10. Timnit Gebru

Who trusts Carsten Schwemmer overall

  1. Alec Radford

Papers from Carsten Schwemmer's perspective

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

  1. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
  2. ImageNet classification with deep convolutional neural networks
  3. Framed by Gender
  4. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
  5. Algorithmic Decision Making and the Cost of Fairness
  6. Unpacking the Gender System
  7. Unequal Representation and Gender Stereotypes in Image Search Results for Occupations
  8. Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
  9. The Gender Revolution: Uneven and Stalled
  10. Algorithms of oppression: how search engines reinforce racism

Their papers