Jamila Smith-Loud

Safety Research · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jamila Smith-Loud trusts

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

  1. Brent Daniel Mittelstadt (in Safety Research)
  2. Nicholas A. Diakopoulos (in Information Systems)
  3. D. Payne-Sturges (in Sociology and Political Science)
  4. G. Gee (in Sociology and Political Science)
  5. Omar Wasow (in Natural Language Processing)
  6. M. Sen (in Natural Language Processing)
  7. Nitin Kohli (in Natural Language Processing)
  8. Paul Holland (in Statistics and Probability)

Who trusts Jamila Smith-Loud

  1. Zaid Khan (in Safety, Robustness & Interpretability)
  2. Yun Raymond Fu (in Safety Research)
  3. Daniel S. Schiff (in Safety Research)
  4. Luke Munn (in Safety Research)

Papers from Jamila Smith-Loud's perspective

Ordered by how strongly the researchers Jamila Smith-Loud trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Equality of Opportunity in Supervised Learning
  2. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
  3. Deep Learning Face Attributes in the Wild
  4. Algorithms in practice: Comparing web journalism and criminal justice
  5. Algorithms of Oppression: How Search Engines Reinforce Racism
  6. A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions
  7. Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment
  8. Runaway Feedback Loops in Predictive Policing
  9. Racial Residential Segregation: A Fundamental Cause of Racial Disparities in Health (Public health reports (1974))
  10. Artificial Intelligence: the global landscape of ethics guidelines

Their papers