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Poster
in
Workshop: HCAI@NeurIPS 2022, Human Centered AI

Feature-Level Synthesis of Human and ML Insights

Isaac Lage · Sonali Parbhoo · Finale Doshi-Velez


Abstract:

We argue that synthesizing insights from humans and ML models at the level of features is an important direction to explore to improve human-ML collaboration on decision-making problems. We show through an illustrative example that feature-level synthesis can produce correct predictions in a case where existing methods fail, then lay out directions for future exploration.

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