F. Delgado

Human-Computer Interaction · 2023

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom F. Delgado trusts overall

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

  1. Amartya Sen
  2. Archon Fung
  3. Cynthia L. Bennett
  4. H. Arksey
  5. J. Fereday
  6. L. A. Palinkas
  7. L. O’Malley
  8. E. Muir‐Cochrane
  9. Daniela Karin Rosner
  10. Anna Lauren Hoffmann

Papers from F. Delgado's perspective

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

  1. Deep Learning
  2. On the Opportunities and Risks of Foundation Models
  3. Guidelines for Human-AI Interaction
  4. How the machine ‘thinks’: Understanding opacity in machine learning algorithms
  5. Toward inclusive tech policy design: a method for underrepresented voices to strengthen tech policy documents
  6. Toward situated interventions for algorithmic equity: lessons from the field
  7. Participatory Design that Matters—Facing the Big Issues (ACM Trans. Comput. Hum. Interact.)
  8. Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback (arXiv.org)
  9. Terms of inclusion: Data, discourse, violence
  10. Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics

Their papers