Oral Presentations: Fairness, Explainability and Trustworthiness

Robust AI in FS 2019 - DECO: Debiasing through Compositional Optimization of Machine Learning Models - Fairness Assessment for Artificial Intelligence in Financial Industry - Using Bayes Factors to Control for Fairness A Case Study on Learning To Rank - Forecasting Firm Material Event Sequences from SEC 8-K Reports: A Transformer Model - Modeling A/B Test Data is Hard: Effects of Overdispersion, Random Walks, and Cointegration - Explainable Small Business Credit Scoring - Adversarial Learning of Deepfakes in Accounting - Imperceptible Adversarial Attacks on Tabular Data - Subpopulation Data Poisoning Attacks