mlsanityData to 7 Oct 2026

From Evidence to Decision: Exploring Evaluative AI

arXiv 2402.01292 ↗First posted 2 Feb 2024cs.AI cs.HCcited by 3

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Abstract (arXiv)

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 providing users with evidence for or against a given hypothesis. We propose an implementation of Evaluative AI by extending the Weight of Evidence framework, leading to hypothesis-driven models that support both tabular and image data. We demonstrate the application of the new decision-support approach in two domains: housing price prediction and skin cancer diagnosis. The findings show promising results in improving human decisions, as well as providing insights on the strengths and weaknesses of different decision-support approaches.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 19 of its 88 references that are in the map. First posted on arXiv 2 Feb 2024.

Builds on

19 of 88 references.

References · 19

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2016Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localizationcited by 6,690
  3. 2017A Unified Approach to Interpreting Model Predictionscited by 6,488
  4. 2016"Why Should I Trust You?": Explaining the Predictions of Any Classifiercited by 5,040
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  10. 2020Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectorscited by 119
  11. 2023Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanationscited by 73
  12. 2023Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision supportcited by 65
7 more
  1. 2020Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-makingcited by 59
  2. 2022Improving Expert Predictions with Conformal Predictioncited by 54
  3. 2022Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learningcited by 53
  4. 2022Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imagingcited by 32
  5. 2023Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decisioncited by 27
  6. 2021From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidencecited by 17
  7. 2021The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studiescited by 13

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 0; 2026: 1.

3 papers.

  1. 2024Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skillscited by 11
  2. 2024Visual Evaluative AI: A Hypothesis-Driven Tool with Concept-Based Explanations and Weight of Evidencecited by 1
  3. 2026Assessing Alignment and Stability of Feature Importance Explanations via Weight of Evidencecited by 0