Perspectives on Incorporating Expert Feedback into Model UpdatesPatterns (Patterns), 2022 |
Human-AI Collaboration via Conditional Delegation: A Case Study of
Content ModerationInternational Conference on Human Factors in Computing Systems (CHI), 2022 |
User Driven Model Adjustment via Boolean Rule ExplanationsAAAI Conference on Artificial Intelligence (AAAI), 2021 |
Facilitating Knowledge Sharing from Domain Experts to Data Scientists
for Building NLP ModelsInternational Conference on Intelligent User Interfaces (IUI), 2021 |
Show or Suppress? Managing Input Uncertainty in Machine Learning Model
ExplanationsArtificial Intelligence (AI), 2021 |
ALEX: Active Learning based Enhancement of a Model's ExplainabilityInternational Conference on Information and Knowledge Management (CIKM), 2020 |
Soliciting Human-in-the-Loop User Feedback for Interactive Machine
Learning Reduces User Trust and Impressions of Model AccuracyAAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2020 |