Focal Interest
Focal Interest

Interpretability

  1. Ranked choice voting shows simple dynamics and limited exhaustion
    Study of ranked choice voting across 110 real elections shows competitive benefits, transparent dynamics, and minimal vulnerability to manipulation or ballot exhaustion.
  2. Explainable quantum AI predicted vehicular energy use in smart cities
    Quantum machine learning combined with explainable AI improves energy prediction for autonomous electric vehicles while ensuring transparent, trustworthy decision-making in smart city operations.
  3. Neural Transparency: Mechanistic Interpretability Interfaces for Anticipating Model Behaviors for Personalized AI
    Neural transparency interface for LLM chatbot design enabling users to anticipate model behaviors through mechanistic interpretability visualization of behavioral trait vectors.
  4. Spreadsheets can support classroom psychometric analysis
    Methodological demonstration of CTT and IRT operationalization in spreadsheet software for classroom assessment analysis and item bank construction using simulated datasets.