Agendas, Presentations, and Resources

Agenda
Agenda Track

Daily schedule:

  • Lectures: 9-12 MT
  • Trust-a-thon: 1-4 MT 

Monday

Morning lecture topics

  • What does it mean to trust? An interdisciplinary perspective
  • Insights on (meaningful) interdisciplinary work in the AI/ML development process
  • Evaluation metrics for classification and regression
  • XAI for traditional machine learning

Trust-a-thon topics

  • TBA

Tuesday

Morning lecture topics

  • Explainability v.s. Interpretability
  • XAI Techniques for deep learning

Trust-a-thon topics

  • TBA

Wednesday

Morning lecture topics

  • Trustworthiness of Data and implications for workflows from collection through to designing analyses
  • The importance of case studies and tips for using them effectively

Trust-A-Thon topics

  • TBA

Thursday

Morning lecture topics

  • Uncertainty quantification methods
  • Evaluating uncertainty quantification
  • Communicating uncertainty: numerical and verbal representations, visualizations, mapping

Trust-a-thon topics

  • TBA