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Seeking research on AI systems for evidence-based revision and abstention

A researcher is seeking existing work on neural systems that can preserve epistemic abstention and evidence-triggered revision. The core requirement is for a system to hold a proposition accessible without assigning a truth value, while also retaining the source and reason for suspension. This suspended status should persist through subsequent processing and only be revised based on specific epistemically relevant updates, with downstream changes propagated while keeping unrelated changes below a threshold. AI

IMPACT This research could lead to more robust and trustworthy AI systems capable of handling uncertainty and updating beliefs based on evidence.

RANK_REASON The item is a request for existing research on a specific technical topic within machine learning. [lever_c_demoted from research: ic=1 ai=1.0]

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Seeking research on AI systems for evidence-based revision and abstention

COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Important_Spot3977 ·

    Prior work on provenance-preserving epistemic abstention and evidence-triggered revision in neural systems? [D]

    <!-- SC_OFF --><div class="md"><p>Hello everyone,</p> <p>Adjacent bodies of work appear to include selective prediction and abstention, uncertainty estimation and calibration, provenance-aware representations, truth-maintenance and belief-revision systems, continual learning, and…