Legal requirements on explainability in machine learning

Random Forests

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Regression shrinkage and selection via the lasso

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UCI Machine Learning Repository

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"Why Should I Trust You?": Explaining the Predictions of Any Classifier

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Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

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Wrappers for feature subset selection

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The Black Box Society: The Secret Algorithms That Control Money and Information

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Irrelevant Features and the Subset Selection Problem

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Forensic Linguistics and DBN

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Bridging transparency in insurance claims prediction: A comparative study of explainable AI and traditional linear models using vehicle telematics data

McDonnell, K., Sheehan, B., & Murphy, F. (2025) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2025.124418 · Cited by 5

The Algorithmic Public Decision, Between Explainability, Administrative Discretion and Data-Driven Decision Making

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Semantic Similarity-Based Mobile Application Isomorphic Graphical User Interface Identification

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Contribuições e Limites da Lei Geral de Proteção de Dados para a Regulação da Inteligência Artificial no Brasil

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Search of Highly Selective Cells in Convolutional Layers with Hebbian Learning

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Addressing Algorithmic Errors in Data-Driven Border Control Procedures

Forti, M. (2024) · German Law Journal · doi:10.1017/glj.2023.102 · Cited by 2

Trustworthy Insights: A Novel Multi-Tier Explainable Framework for Ambient Assisted Living

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Explaining a Logic Dendritic Neuron Model by Using the Morphology of Decision Trees

Chen, X., Fan, H., Chen, W., Zhang, Y., Zhu, D., & Song, S. (2024) · Electronics · doi:10.3390/electronics13193911 · Cited by 4

Algorithmic Personalized Pricing in the United States

Porat, H. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009367912.017 · Cited by 2

From black box to glass box: algorithmic explainability as a strategic decision

Lambin, X., & Raizonville, A. (2025) · Information Economics and Policy · doi:10.1016/j.infoecopol.2025.101149 · Cited by 4

Data Science Applications and Implications in Legal Studies: A Perspective Through Topic Modelling

Tan, J., Wan, H., Yan, P., & Zhu, Z. (2022) · Journal of Data Science · doi:10.6339/22-jds1058 · Cited by 2

Perlocution vs Illocution: How Different Interpretations of the Act of Explaining Impact on the Evaluation of Explanations and XAI

Sovrano, F., & Vitali, F. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-44064-9_2 · Cited by 4

Patient Similarity Analytics for Explainable Clinical Risk PredictionPreprint

Fang, H. S. A., Tan, N. C., Tan, W. Y., Oei, R. W., Lee, M. L., & Hsu, W. (2021) · Research Square · doi:10.21203/rs.3.rs-147408/v1 · Cited by 2

Good Administration in AI-Enhanced Banking Supervision: A Risk-Based ApproachPreprint

Azzutti, A., Batista, P. M., & Ringe, W.-G. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4430642 · Cited by 2

Certified unlearning for a trustworthy machine learning-based access control administration

Llamas, J. M., Preuveneers, D., & Joosen, W. (2025) · Int. J. Inf. Sec. · doi:10.1007/s10207-025-01003-5 · Cited by 2

An integrated requirements framework for analytical and AI projects

Trujillo, J. C., Lavalle, A., Reina, A. R., García‐Carrasco, J., Maté, A., & Maaß, W. (2025) · Data & Knowledge Engineering · doi:10.1016/j.datak.2025.102493 · Cited by 1

Application of Artificial Intelligence in social science research: a mixed-method study

Khan, N. A., Khan, F. A., Rahman, M. N., & Uddin, S. M. F. (2026) · Innovation The European Journal of Social Science Research · doi:10.1080/13511610.2026.2619024 · Cited by 1

AI and digital justice in EU labor law. A comparative study on predictive tools and judicial transformation

Molinari, M., & Giacalone, M. (2026) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2025.1742239 · Cited by 1

Explainable throughout the AI lifecycle: the evolution of the explainability provisions in the EU AI Act

van Beem, E. H. (2026) · International Review of Law Computers & Technology · doi:10.1080/13600869.2026.2668320 · Cited by 1

Hammering with the telescope

Sobkowicz, P. (2022) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2022.1010219 · Cited by 1

Formal, Procedural, and Material Requirements of the Rule of Law in the Context of Automated Decision-Making

Suksi, M. (2023) · Springer eBooks · doi:10.1007/978-3-031-30142-1_4 · Cited by 1

Personalized pricing decisions through adversarial risk analysis

Rasines, D. G., Naveiro, R., Insua, D. R., & Santana, S. R. (2024) · International Transactions in Operational Research · doi:10.1111/itor.13545 · Cited by 1

Unveiling legal complexity: a systematic review on the visual analytics of legal corpora

Mentzingen, H., António, N., & Bação, F. (2025) · International Review of Law Computers & Technology · doi:10.1080/13600869.2025.2497630 · Cited by 3

Explainable Machine Learning for Hydrocarbon Prospect RiskingPreprint

Mustafa, A., AlRegib, G., & Koster, K. (2023) · doi:10.31223/x5jd5d · Cited by 1

The Landscape of Facial Processing Applications in the Context of the European AI Act and the Development of Trustworthy SystemsPreprint

Hupont, I., Tolan, S., Güneş, H., & Gómez, E. (2022) · Research Square · doi:10.21203/rs.3.rs-1306704/v1

From black box to glass box: algorithmic explainability as a strategic decisionPreprint

Raizonville, A., & Lambin, X. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3958902

OCEANUI: INTERFACE PARA GERAÇÃO DE EXPLICAÇÕES CONTRAFACTUAIS

PEREIRA, M. H. (2022) · doi:10.17771/pucrio.acad.60289

The Use of Partial Order Relations and Measure Theory in Developing Objective Measures of Explainability

Mulder, W. D. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-15565-9_11

Comprendre les algorithmes, leurs risques et leurs promesses

Cohen-Addad, V. (2022) · Questions de communication · doi:10.4000/questionsdecommunication.29098

The Interplay Between Lawfulness and Explainability in the Automated Decisionmaking of the EU AdministrationPreprint

Liga, D. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4561012

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Automatic Speech Recognition Models for Transcribing Norwegian Investigative Interviews: Compliance with the Draft Ai Act and Fairness StudyPreprint

Stoykova, R., Porter, K., & Beka, T. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4656884

Models with Verbally Enunciated Explanations: Towards Safe, Accountable, and Trustworthy Artificial Intelligence

Wahde, M. (2024) · International Conference on Agents and Artificial Intelligence (ICAART) · doi:10.5220/0012307100003636

Artificial Intelligence and Public Administration The problems and possible answers by the AI ActPreprint

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Verdict Prediction using Artificial Neural Networks

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Beyond the European Union

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AI in Government: A Study on Explainability of High-Risk AI-Systems in Law Enforcement and Police Service

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How Do ML Students Explain Their Models and What Can We Learn from This?

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An examination of the justification for post hoc explanations of artificial intelligence

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Legal XAI: a Systematic Review and Interdisciplinary Mapping of XAI and EU Law, Towards a Research Agenda for Legally Responsible AIPreprint

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a systematic review on the visual analytics of legal corpora

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Towards eXplainable Artificial Intelligence (XAI) in tax law : the need for a minimum legal standard

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Three-Dimensional Surface High-Precision Modeling and Loss Mechanism Analysis of Motor Efficiency Map Based on Driving Cycles

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Justifying Black-Box Predictions with Domain Knowledge

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Ethical, legal and societal implications of Tactile Internet with Human-in-the-Loop

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FREQuency ATTribution: benchmarking frequency-based occlusion for time series data

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Misplaced trust in AI : the explanation paradox and the human-centric path. A characterisation of the cognitive challenges to appropriately trust algorithmic decisions and applications in the financial sector

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CogDoc: A Knowledge Centric Multi Model LLM for Clause Level Extraction, Structured Representation, and Consistency Reasoning over Legal and Policy DocumentsPreprint

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From Aiken to AI: Evolution and Innovation in Combatting Treaty Shopping and Tax Avoidance in International Tax Law

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Application of artificial intelligence in the prevention of corruption in public procurement: A focus on the government sector

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EXPLORING FRAMEWORKS FOR THE ETHICAL DEPLOYMENT OF ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION

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Chapter 4: Topical Report: The Impact of Artificial Intelligence on Tax Administrations in Developed Countries

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AI Governance Frameworks for Privacy-Preserving Intelligent Systems: Integrating Trust, Compliance, and Secure Data Architectures

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When the EU AI Act Travels: Legal Transplantability and Modular Adaptation in Third-Country AI Governance

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Trustworthy AI for China’s courts: A socialist core value alignment

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Interpretable Machine Learning for Cost Estimation in Public Restoration Projects: An Empirical Analysis of Turkish Cultural Heritage Data

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From Dissatisfaction to Defection: Interpretable Churn Prediction in a Slovak Life Insurance Portfolio

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Impact of Legal Requirements on Explainability in Machine LearningPreprint

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explainy: A Toolkit for Legal-XAI

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