Knowing When You Don't Know: Engineering AI Systems in an Uncertain World
November 2020 • Presentation
This presentation provides a view of new research about artificial intelligence (AI) system engineering and uncertainty.
Software Engineering Institute
In this work, we will benchmark modern techniques that quantify uncertainty. We'll also develop techniques to identify causes of uncertainty and efficiently update ML models to reduce uncertainty in their predictions.