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Can Causal Thinking Render AI-Driven Systems More Robust?

https://doi.org/10.2139/ssrn.4832302
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-28954-6_2openalex-extracted
Transparency: Motivations and Challenges
inferredcites →https://doi.org/10.1007/978-981-19-7867-8_47openalex-extracted
Domain Adaptation: A Survey
inferredcites →https://doi.org/10.1016/j.jbi.2011.07.001openalex-extracted
A review of causal inference for biomedical informatics
inferredcites →https://doi.org/10.1017/cbo9780511803161openalex-extracted
Causality
inferredcites →https://doi.org/10.1017/cbo9780511804564openalex-extracted
Counterfactuals and Causal Inference
inferredcites →https://doi.org/10.1073/pnas.1510507113openalex-extracted
Causal inference and the data-fusion problem
inferredcites →https://doi.org/10.1080/01621459.2018.1491403openalex-extracted
Invariant Causal Prediction for Sequential Data
inferredcites →https://doi.org/10.1093/bioinformatics/btr626openalex-extracted
Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information
inferredcites →https://doi.org/10.1109/jproc.2021.3058954openalex-extracted
Toward Causal Representation Learning
inferredcites →https://doi.org/10.1145/3485447.3512251openalex-extracted
Causal Representation Learning for Out-of-Distribution Recommendation
inferredcites →https://doi.org/10.1145/3635709openalex-extracted
Causality-driven Testing of Autonomous Driving Systems
inferredcites →https://doi.org/10.1146/annurev-statistics-033121-114601openalex-extracted
Causal Inference in the Social Sciences
inferredcites →https://doi.org/10.1214/09-ss057openalex-extracted
Causal inference in statistics: An overview
inferredcites →https://doi.org/10.1609/aaai.v31i1.11099openalex-extracted
Cross-Domain Sentiment Classification via Topic-Related TrAdaBoost
inferredcites →https://doi.org/10.18653/v1/n16-3020openalex-extracted
“Why Should I Trust You?”: Explaining the Predictions of Any Classifier
inferredcites →https://doi.org/10.2307/j.ctvcm4j72openalex-extracted
Mostly Harmless Econometrics
inferredcites →https://doi.org/10.24963/ijcai.2023/505openalex-extracted
Explainable Reinforcement Learning via a Causal World Model
inferredcites →https://doi.org/10.48550/arxiv.1301.2115openalex-extracted
Domain Generalization via Invariant Feature Representation
inferredcites →https://doi.org/10.48550/arxiv.1702.08608openalex-extracted
Towards A Rigorous Science of Interpretable Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.1703.10651openalex-extracted
Reliable Decision Support using Counterfactual Models
inferredcites →https://doi.org/10.48550/arxiv.1707.06422openalex-extracted
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
inferredcites →https://doi.org/10.48550/arxiv.2210.09618openalex-extracted
Object Recognition in Different Lighting Conditions at Various Angles by Deep Learning Method
inferredcites →https://doi.org/10.48550/arxiv.2210.10275openalex-extracted
Towards Explaining Distribution Shifts
inferredcites →https://doi.org/10.48550/arxiv.2303.10112openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2305.02749openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2311.14994openalex-extracted
inferredcites →https://doi.org/10.1002/widm.70024openalex-snapshot
Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review
inferredcites →https://doi.org/10.1145/3705297openalex-snapshot
Causal Discovery from Temporal Data: An Overview and New Perspectives

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inferred← citeshttps://doi.org/10.1016/j.critrevonc.2025.105040openalex-snapshot
Explainable artificial intelligence for multi-modal cancer analysis: From genomics to immunology
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