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ENTITY Counterfactual Explanations in Explainable AI: A Tutorial

Counterfactual Explanations in Explainable AI: A Tutorial

PulseAugur coverage of Counterfactual Explanations in Explainable AI: A Tutorial — every cluster mentioning Counterfactual Explanations in Explainable AI: A Tutorial across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_228938 ·

    Paper questions counterfactual explanations in AI for justification and recourse

    A new paper explores the limitations of counterfactual explanations (CEs) in explainable AI, particularly when used for justification and recourse. The research highlights that CEs can obscure crucial design and governa…

  2. RESEARCH · CL_221199 ·

    New framework unifies time series AI explanations

    Researchers have developed a new framework called \"modelname\" to unify attribution-based and counterfactual explanations for deep learning models working with time series data. Current methods in these two explanation…

  3. TOOL · CL_178226 ·

    New framework unifies counterfactual explanations in machine learning

    Researchers have introduced a new perspective on counterfactual explanations (CEs) in machine learning, moving beyond the conventional distance-minimization approach. They demonstrate that a distance-minimization CE is …

  4. TOOL · CL_165085 ·

    New benchmark library standardizes evaluation of explainable AI methods

    Researchers have introduced CEL, a Comprehensive Counterfactual Explanations Library and Benchmark, to address the challenges in evaluating explainable AI (xAI) methods. Existing studies often lack consistency in data s…

  5. TOOL · CL_104014 ·

    New ConTex framework offers real-time counterfactual explanations for time series forecasting

    Researchers have developed ConTex, a novel framework for generating counterfactual explanations in time series forecasting. Unlike previous methods that relied on instance-wise optimization, ConTex reformulates the prob…

  6. TOOL · CL_56228 ·

    LLMs Generate Narrative Explanations for AI Decisions

    A new research paper introduces "XAIstories," a method that uses Large Language Models to create narrative explanations for AI decisions, aiming to make complex AI outputs more understandable to general audiences and da…