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