Dawn Nafus

Safety Research · 2014–2022

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dawn Nafus trusts overall

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

  1. Tarleton Gillespie
  2. Lev Manovich
  3. M. Indergaard
  4. Alexandra Chouldechova
  5. D. boyd
  6. Jan H. Kietzmann
  7. Alexander Amini

Who trusts Dawn Nafus overall

  1. Tamar Sharon
  2. Deborah Lupton
  3. Minna Ruckenstein
  4. Natasha D. Schüll
  5. Brittany Fiore-Gartland
  6. Dorien Zandbergen

Papers from Dawn Nafus's perspective

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

  1. The Filter Bubble: What the Internet Is Hiding from You
  2. The politics of ‘platforms’ (New Media & Society)
  3. Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?
  4. Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making
  5. Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure
  6. The age of secrecy and unfairness in recidivism prediction
  7. Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI (International Conference on Human Factors in Computing Systems)
  8. Trending: The Promises and the Challenges of Big Social Data
  9. Two Bits: The Cultural Significance of Free Software
  10. Artificial Intelligence: the global landscape of ethics guidelines

Their papers