3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Visual Evaluative AI: A Hypothesis-Driven Tool with Concept-Based Explanations and Weight of Evidence
Thao Le, Tim Miller, Ruihan Zhang +2
This paper presents Visual Evaluative AI, a decision aid that provides positive and negative evidence from image data for a given hypothesis. This tool finds high-level human conce…
cs.HC2024
Explainable agency: human preferences for simple or complex explanations
Michelle Blom, Ronal Singh, Tim Miller +3
Research in cognitive psychology has established that whether people prefer simpler explanations to complex ones is context dependent, but the question of `simple vs. complex' beco…
cs.AI2024★ 3 cited
From Evidence to Decision: Exploring Evaluative AI
Thao Le, Tim Miller, Liz Sonenberg +2
This paper presents a hypothesis-driven approach to improve AI-supported decision-making that is based on the Evaluative AI paradigm - a conceptual framework that proposes providin…