Article

Counterfactual Explanations as Interventions in Latent Space

2021-08-09

Abstract excerpt

<title>Abstract</title> <p>Explainable Artificial Intelligence (XAI) is a set of techniques that allows the understanding of both technical and non-technical aspects of Artificial Intelligence (AI) systems. XAI is crucial to help satisfying the increasingly important demand of \emph{trustworthy} Artificial Intelligence, characterized by fundamental characteristics such as respect of human autonomy, prevention of...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 2833b5b1-da19-5c5f-83f6-b28883d24850
DOI: 10.21203/rs.3.rs-626875/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Counterfactual Explanations as Interventions in Latent SpaceDOI 10.21203/rs.3.rs-626875/v1Read

Non-algorithms for Explainable Artificial IntelligenceSemantic proximity Read

A Framework for Generating Counterfactual Explanations to Explain Black-Box ModelsSemantic proximity Read

What kind of ‘Explainable AI’ do users need?Semantic proximity Read

Engineering Explainable AI Systems for GDPR-Aligned Decision Transparency: A Modular Framework for Continuous ComplianceSemantic proximity Read

Explainable Artificial Intelligence in Precision Medicine: Methods, Applications, and ChallengesSemantic proximity Read

CLARUS: An Interactive Explainable AI Platform for Manual Counterfactuals in Graph Neural NetworksSemantic proximity Read

A Policy-Graph Approach to Explain Reinforcement Learning Agents: A Novel Policy-Graph Approach with Natural Language and Counterfactual Abstractions for Explaining Reinforcement Learning AgentsSemantic proximity Read

Exploring Explainability in Large Language ModelsSemantic proximity Read

Artificial Cognition: How Experimental Psychology Can Help Generate Explainable Artificial IntelligenceSemantic proximity Read

Mind the Gap: From Plausible to Valid Self-Explanations in Large Language ModelsSemantic proximity Read

An Explainable Artificial Intelligence Framework for Decision-Making in Critical Information Technology SystemsSemantic proximity Read

Building Compressed Causal Models of the WorldSemantic proximity Read