Knowing When You Don't Know: Engineering AI Systems in an Uncertain World

November 3, 2020 • Presentation

By

Eric Heim

This presentation provides a view of new research about artificial intelligence (AI) system engineering and uncertainty.

Publisher

Software Engineering Institute

Topic or Tag

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Abstract

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.