Brian Magerko

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Brian Magerko trusts overall

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

  1. Miroslav Kubat
  2. Ethan Fast
  3. Eric Horvitz

Who trusts Brian Magerko overall

  1. Davy Tsz Kit Ng
  2. Irene A. Lee
  3. Jinhee Kim
  4. Helen Zhang
  5. T. Cristofaro
  6. Lucas Nunes Vieira
  7. Lixiang Yan
  8. Nils Knoth
  9. Astrid Carolus
  10. Safinah Arshad Ali

Papers from Brian Magerko's perspective

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

  1. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
  2. How the machine ‘thinks’: Understanding opacity in machine learning algorithms
  3. Principles of Explanatory Debugging to Personalize Interactive Machine Learning
  4. It Takes Two to Tango: Towards Theory of AI's Mind
  5. Beyond Black Boxes: Bringing Transparency and Aesthetics Back to Scientific Investigation
  6. Robotic pets in the lives of preschool children (CHI EA '04)
  7. Fairer and more accurate, but for whom?
  8. Artificial Intelligence's White Guy Problem
  9. Meta-analysis of theory-of-mind development: the truth about false belief.
  10. Socialization between toddlers and robots at an early childhood education center (Proceedings of the National Academy of Sciences of the United States of America)

Their papers