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Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning

https://doi.org/10.1145/3313831.3376219
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What this work says

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

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Attribution in conversational context: Effect of mutual knowledge on explanation‐giving
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Generalized Additive Models; Some Applications
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Orange: From Experimental Machine Learning to Interactive Data Mining
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Judgment under Uncertainty: Heuristics and Biases
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Grounded theory research: Procedures, canons, and evaluative criteria
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Goal-based explanation evaluation
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Interacting meaningfully with machine learning systems: Three experiments
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The structure and function of explanations
inferredcites →https://doi.org/10.1016/s0022-5371(83)90189-5openalex-snapshot
Common ground at the understanding of demonstrative reference
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A value for n -person games
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Thematic analysis.
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JAABA: interactive machine learning for automatic annotation of animal behavior
inferredcites →https://doi.org/10.1038/s42256-019-0048-xopenalex-snapshot
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
inferredcites →https://doi.org/10.1080/01621459.1987.10478440openalex-snapshot
Generalized Additive Models: Some Applications
inferredcites →https://doi.org/10.1109/access.2017.2696365openalex-snapshot
Machine Learning With Big Data: Challenges and Approaches
inferredcites →https://doi.org/10.1109/cig.2018.8490433openalex-snapshot
Explainable AI for Designers: A Human-Centered Perspective on Mixed-Initiative Co-Creation
inferredcites →https://doi.org/10.1109/dsaa.2018.00018openalex-snapshot
Explaining Explanations: An Overview of Interpretability of Machine Learning
inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
inferredcites →https://doi.org/10.1111/rssa.12227openalex-snapshot
Interpretable Classification Models for Recidivism Prediction
inferredcites →https://doi.org/10.1126/science.aal4230openalex-snapshot
Semantics derived automatically from language corpora contain human-like biases
inferredcites →https://doi.org/10.1145/1357054.1357160openalex-snapshot
Investigating statistical machine learning as a tool for software development
inferredcites →https://doi.org/10.1145/2110363.2110464openalex-snapshot
Deploying an interactive machine learning system in an evidence-based practice center
inferredcites →https://doi.org/10.1145/2207676.2207678openalex-snapshot
Tell me more?
inferredcites →https://doi.org/10.1145/2207676.2207680openalex-snapshot
Regroup
inferredcites →https://doi.org/10.1145/2678025.2701399openalex-snapshot
Principles of Explanatory Debugging to Personalize Interactive Machine Learning
inferredcites →https://doi.org/10.1145/2702123.2702520openalex-snapshot
Unequal Representation and Gender Stereotypes in Image Search Results for Occupations
inferredcites →https://doi.org/10.1145/2783258.2788613openalex-snapshot
Intelligible Models for HealthCare
inferredcites →https://doi.org/10.1145/2939672.2939778openalex-snapshot
"Why Should I Trust You?"
inferredcites →https://doi.org/10.1145/3173574.3173704openalex-snapshot
Mapping Machine Learning Advances from HCI Research to Reveal Starting Places for Design Innovation
inferredcites →https://doi.org/10.1145/3173574.3174156openalex-snapshot
Trends and Trajectories for Explainable, Accountable and Intelligible Systems
inferredcites →https://doi.org/10.1145/3196709.3196730openalex-snapshot
Investigating How Experienced UX Designers Effectively Work with Machine Learning
inferredcites →https://doi.org/10.1145/3282486openalex-snapshot
The challenge of crafting intelligible intelligence
inferredcites →https://doi.org/10.1145/3290605.3300356openalex-snapshot
How Data Science Workers Work with Data
inferredcites →https://doi.org/10.1145/3290605.3300641openalex-snapshot
Will You Accept an Imperfect AI?
inferredcites →https://doi.org/10.1145/3290605.3300809openalex-snapshot
Gamut
inferredcites →https://doi.org/10.1145/3290605.3300831openalex-snapshot
Designing Theory-Driven User-Centric Explainable AI
inferredcites →https://doi.org/10.1145/3359206openalex-snapshot
"Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-Making
inferredcites →https://doi.org/10.1145/3375627.3375833openalex-snapshot
"How do I fool you?"
inferredcites →https://doi.org/10.1145/604045.604056openalex-snapshot
Interactive machine learning
inferredcites →https://doi.org/10.1163/9789004368811_003openalex-snapshot
Logic and Conversation
inferredcites →https://doi.org/10.1177/0163443719855301openalex-snapshot
Decoding algorithms
inferredcites →https://doi.org/10.1177/2053951716665128openalex-snapshot
Algorithms and their others: Algorithmic culture in context
inferredcites →https://doi.org/10.1207/s15327051hci16234_05openalex-snapshot
Intelligibility and Accountability: Human Considerations in Context-Aware Systems
inferredcites →https://doi.org/10.1207/s15327108ijap0301_1openalex-snapshot
Performance Consequences of Automation-Induced 'Complacency'
inferredcites →https://doi.org/10.1207/s15327566ijce0401_04openalex-snapshot
Foundations for an Empirically Determined Scale of Trust in Automated Systems
inferredcites →https://doi.org/10.1207/s15516709cog1504_2openalex-snapshot
Goal‐Based Explanation Evaluation
inferredcites →https://doi.org/10.1609/hcomp.v7i1.5280openalex-snapshot
Human Evaluation of Models Built for Interpretability
inferredcites →https://doi.org/10.2139/ssrn.2919024openalex-snapshot
Simple Rules for Complex Decisions
inferredcites →https://doi.org/10.4230/oasics.dx.2024.27openalex-snapshot
On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)
inferredcites →https://doi.org/10.4324/9781315080918-5openalex-snapshot
A Transactional Model of Communication
inferredcites →https://doi.org/10.48550/arxiv.1702.08608openalex-snapshot
Towards A Rigorous Science of Interpretable Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.1705.07874openalex-snapshot
A Unified Approach to Interpreting Model Predictions
inferredcites →https://doi.org/10.48550/arxiv.1712.00547openalex-snapshot
Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences
inferredcites →https://doi.org/10.5860/choice.42-6170openalex-snapshot
How the mind explains behavior: folk explanations, meaning, and social interaction
inferredcites →https://doi.org/10.7551/mitpress/7503.001.0001openalex-snapshot
Advances in Neural Information Processing Systems 19

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Show or suppress? Managing input uncertainty in machine learning model explanations
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108719openalex-snapshot
FVCM-Net: Interpretable privacy-preserved attention driven lung cancer detection from CT scan images with explainable HiRes-CAM attribution map and ensemble learning
inferred← citeshttps://doi.org/10.1016/j.chb.2026.109163openalex-snapshot
Are explainable AI (XAI) evaluation strategies aligned? Comparing subjective, objective, and mathematical evaluation measures using saliency maps
inferred← citeshttps://doi.org/10.1016/j.chbr.2026.101021openalex-snapshot
How cultural cognition affects trust and perceived quality of AI explanations
inferred← citeshttps://doi.org/10.1016/j.cie.2025.111704openalex-snapshot
Fundamental flaws of physics-informed neural networks and explainability methods in engineering systems
inferred← citeshttps://doi.org/10.1016/j.compag.2022.106804openalex-snapshot
An explainable XGBoost model improved by SMOTE-ENN technique for maize lodging detection based on multi-source unmanned aerial vehicle images
inferred← citeshttps://doi.org/10.1016/j.compag.2024.108746openalex-snapshot
Estimation of pore-water electrical conductivity in soilless tomatoes cultivation using an interpretable machine learning model
inferred← citeshttps://doi.org/10.1016/j.ejrad.2024.111389openalex-snapshot
Explaining explainability: The role of XAI in medical imaging
inferred← citeshttps://doi.org/10.1016/j.engappai.2022.105222openalex-snapshot
Interpretable machine learning models for predicting and explaining vehicle fuel consumption anomalies
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123890openalex-snapshot
FXAM: A Unified and Fast Interpretable Model for Predictive Analytics
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2024.103376openalex-snapshot
Comprehension is a double-edged sword: Over-interpreting unspecified information in intelligible machine learning explanations
inferred← citeshttps://doi.org/10.1016/j.ijinfomgt.2026.103140openalex-snapshot
GenAI-enabled human–AI collaboration: An integrative review of local augmentation, hidden work, and governable synergy
inferred← citeshttps://doi.org/10.1016/j.inffus.2021.05.009openalex-snapshot
Notions of explainability and evaluation approaches for explainable artificial intelligence
inferred← citeshttps://doi.org/10.1016/j.istruc.2025.108205openalex-snapshot
Explainable machine learning driven strength degradation investigation of BFRP bar in seawater and sea sand concrete environment
inferred← citeshttps://doi.org/10.1016/j.jrt.2021.100017openalex-snapshot
Explainability for experts: A design framework for making algorithms supporting expert decisions more explainable
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112200openalex-snapshot
Causality-based counterfactual explanation for classification models
inferred← citeshttps://doi.org/10.1016/j.patter.2020.100049openalex-snapshot
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI
inferred← citeshttps://doi.org/10.1016/j.petrol.2022.111041openalex-snapshot
Making the black-box brighter: Interpreting machine learning algorithm for forecasting drilling accidents
inferred← citeshttps://doi.org/10.1016/j.phrs.2023.106706openalex-snapshot
Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer metastases
inferred← citeshttps://doi.org/10.1016/j.resuscitation.2022.10.014openalex-snapshot
Self-fulfilling prophecies and machine learning in resuscitation science
inferred← citeshttps://doi.org/10.1016/j.seta.2025.104794openalex-snapshot
An explainable (interpretable) stacking ensemble machine learning model for real-time and short-term significant sea wave height prediction
inferred← citeshttps://doi.org/10.1016/j.triboint.2023.109184openalex-snapshot
Prediction of friction coefficient of polymer surface using variational mode decomposition and machine learning algorithm based on noise features
inferred← citeshttps://doi.org/10.1016/j.tsep.2025.103236openalex-snapshot
Interpretable Machine learning model for predicting Ethane-Ethylene composition in binary distillation process
inferred← citeshttps://doi.org/10.1016/s2589-7500(21)00208-9openalex-snapshot
The false hope of current approaches to explainable artificial intelligence in health care
inferred← citeshttps://doi.org/10.1017/9781108872225.010openalex-snapshot
Humans and Machine Learning
inferred← citeshttps://doi.org/10.1017/9781108872225.011openalex-snapshot
Human-Centered Explainable AI (XAI)
inferred← citeshttps://doi.org/10.1027/1015-5759/a000714openalex-snapshot
Machine Learning and Prediction in Psychological Assessment
inferred← citeshttps://doi.org/10.1038/s41551-023-01056-8openalex-snapshot
Algorithmic fairness in artificial intelligence for medicine and healthcare
inferred← citeshttps://doi.org/10.1038/s41598-025-34099-9openalex-snapshot
Evaluating human–machine collaboration through a comparative analysis of experts, machine learning, and hybrid approaches in real estate valuation
inferred← citeshttps://doi.org/10.1038/s42256-023-00692-8openalex-snapshot
Explaining machine learning models with interactive natural language conversations using TalkToModel
inferred← citeshttps://doi.org/10.1063/5.0184421openalex-snapshot
Evaluation of data format quality of open government data portals in Southern EU countries
inferred← citeshttps://doi.org/10.1063/5.0234826openalex-snapshot
A systematic literature review of open government data: Assessing concepts, trends, and current research gaps
inferred← citeshttps://doi.org/10.1063/5.0320169openalex-snapshot
A survey on health care system with explainable AI
inferred← citeshttps://doi.org/10.1080/02564602.2025.2512086openalex-snapshot
Evolution of AI-Driven Decision Making with Decision Support Systems, Expert Systems, Recommender Systems, and XAI
inferred← citeshttps://doi.org/10.1080/08839514.2024.2430867openalex-snapshot
Real-World Efficacy of Explainable Artificial Intelligence using the SAGE Framework and Scenario-Based Design
inferred← citeshttps://doi.org/10.1080/10106049.2022.2028903openalex-snapshot
Spatio-temporal modelling of asthma-prone areas using a machine learning optimized with metaheuristic algorithms
inferred← citeshttps://doi.org/10.1080/10447318.2023.2210890openalex-snapshot
Fairness Perceptions of Artificial Intelligence: A Review and Path Forward
inferred← citeshttps://doi.org/10.1080/10447318.2026.2712101openalex-snapshot
Explainable Human–AI Co-Design for 3D Generation: A Knowledge-Driven Framework Leveraging User-Generated Content
inferred← citeshttps://doi.org/10.1080/10447318.2026.2740397openalex-snapshot
How Do Users Negotiate Harmful Value Conflicts with AI Companions? A Study with Minion, a Technology Probe for In-Situ Human–AI Conflict Response
inferred← citeshttps://doi.org/10.1080/10503307.2020.1785037openalex-snapshot
Generalized linear mixed-model (GLMM) trees: A flexible decision-tree method for multilevel and longitudinal data
inferred← citeshttps://doi.org/10.1080/1369118x.2020.1754877openalex-snapshot
You never fake alone. Creative AI in action
inferred← citeshttps://doi.org/10.1080/23299460.2025.2519883openalex-snapshot
A novel responsible innovation framework in the context of a blockchain analysis platform
inferred← citeshttps://doi.org/10.1088/1741-2552/adbfbdopenalex-snapshot
The NERVE-ML (neural engineering reproducibility and validity essentials for machine learning) checklist: ensuring machine learning advances neural engineering*
inferred← citeshttps://doi.org/10.1088/2632-2153/ace0a1openalex-snapshot
A detailed study of interpretability of deep neural network based top taggers
inferred← citeshttps://doi.org/10.1093/jamia/ocab212openalex-snapshot
The messiness of the menstruator: assessing personas and functionalities of menstrual tracking apps
inferred← citeshttps://doi.org/10.1093/oso/9780192859624.001.0001openalex-snapshot
Algorithmic Reason
inferred← citeshttps://doi.org/10.1093/oso/9780192859624.002.0003openalex-snapshot
Copyright Page
inferred← citeshttps://doi.org/10.1093/oso/9780192859624.002.0006openalex-snapshot
List of Figures
inferred← citeshttps://doi.org/10.1093/oso/9780192859624.003.0001openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1093/oso/9780192859624.003.0002openalex-snapshot
Knowledge
inferred← citeshttps://doi.org/10.1093/oso/9780192859624.003.0003openalex-snapshot
Decision
inferred← citeshttps://doi.org/10.1093/oso/9780192859624.003.0004openalex-snapshot
Others
inferred← citeshttps://doi.org/10.1093/oso/9780192859624.003.0005openalex-snapshot
Platforms
inferred← citeshttps://doi.org/10.1093/oso/9780192859624.003.0006openalex-snapshot
Value
inferred← citeshttps://doi.org/10.1093/oso/9780192859624.003.0007openalex-snapshot
Ethics
inferred← citeshttps://doi.org/10.1093/oso/9780192859624.003.0008openalex-snapshot
Accountability
inferred← citeshttps://doi.org/10.1093/oso/9780192859624.003.0009openalex-snapshot
International
inferred← citeshttps://doi.org/10.1093/oso/9780192859624.003.0010openalex-snapshot
Conclusion
inferred← citeshttps://doi.org/10.1098/rsta.2022.0048openalex-snapshot
Socially intelligent machines that learn from humans and help humans learn
inferred← citeshttps://doi.org/10.1101/2025.11.21.25340725openalex-snapshot
Explainable machine learning on weighted connectivity networks across frequencies for outcome prediction in comatose patients
inferred← citeshttps://doi.org/10.1109/access.2022.3206449openalex-snapshot
A Survey on Attention Mechanisms for Medical Applications: are we Moving Toward Better Algorithms?
inferred← citeshttps://doi.org/10.1109/access.2024.3409843openalex-snapshot
EXplainable Artificial Intelligence (XAI)—From Theory to Methods and Applications
inferred← citeshttps://doi.org/10.1109/apcit62007.2024.10673712openalex-snapshot
Transparency in Translation: A Deep Dive into Explainable AI Techniques for Bias Mitigation
inferred← citeshttps://doi.org/10.1109/apr66717.2025.00008openalex-snapshot
SCHOLIA- An XAI Framework for APR
inferred← citeshttps://doi.org/10.1109/beliv64461.2024.00007openalex-snapshot
Exploring Subjective Notions of Explainability through Counterfactual Visualization of Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386330openalex-snapshot
Incorporating Emotions into Health Mention Classification Task on Social Media
inferred← citeshttps://doi.org/10.1109/citrex64975.2025.10974931openalex-snapshot
Impacts of Anthropogenic Noise on the House Wren’s Song: An XAI Approach to Bioacoustic Insights
inferred← citeshttps://doi.org/10.1109/citsm60085.2023.10455415openalex-snapshot
Crude Palm Oil Price Forecasting Based on ECoS-MARS: in Data Science Models
inferred← citeshttps://doi.org/10.1109/cns56114.2022.9947260openalex-snapshot
Supporting Law-Enforcement to Cope with Blacklisted Websites: Framework and Case Study
inferred← citeshttps://doi.org/10.1109/dsaa53316.2021.9564166openalex-snapshot
Explainable Artificial Intelligence for Data Science on Customer Churn
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00128openalex-snapshot
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
inferred← citeshttps://doi.org/10.1109/icdm54844.2022.00020openalex-snapshot
Class-Specific Explainability for Deep Time Series Classifiers
inferred← citeshttps://doi.org/10.1109/icdsinc66221.2025.11448126openalex-snapshot
AI and XAI in Stock Market Prediction: Exploring Limitations, Gaps, and Collaborative Solutions
inferred← citeshttps://doi.org/10.1109/icecet65726.2026.11632877openalex-snapshot
Explainability Assistant: a Conversational XAI Interface for Interpreting Energy Consumption Models
inferred← citeshttps://doi.org/10.1109/ichi54592.2022.00045openalex-snapshot
LIVE: A Local Interpretable model-agnostic Visualizations and Explanations
inferred← citeshttps://doi.org/10.1109/ichi69079.2026.00089openalex-snapshot
RePurposeX: Designing Mixed-Initiative Decision Support for Drug Repurposing with Biomedical Knowledge Graphs
inferred← citeshttps://doi.org/10.1109/icicnis64247.2024.10823386openalex-snapshot
Leveraging Digital Twins and AI for Enhanced Clinical Decision Support in Endometrial Cancer Treatment
inferred← citeshttps://doi.org/10.1109/icsec67360.2025.11298064openalex-snapshot
Toward Trustworthy AI: Interpretability Throughout the Machine Learning Pipeline
inferred← citeshttps://doi.org/10.1109/icsidp62679.2024.10868327openalex-snapshot
FeatureSeries: An explainable neural network for financial marketing
inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892336openalex-snapshot
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations
inferred← citeshttps://doi.org/10.1109/iv55156.2024.10588643openalex-snapshot
Examining Trust’s Influence on Autonomous Vehicle Perceptions
inferred← citeshttps://doi.org/10.1109/jas.2024.124860openalex-snapshot
Federated Services: A Smart Service Ecology with Federated Security for Aligned Data Supply and Scenario-Oriented Demands
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3447583openalex-snapshot
AI-Enhanced Lung Cancer Prediction: A Hybrid Model's Precision Triumph
inferred← citeshttps://doi.org/10.1109/resgenxai64788.2025.11344037openalex-snapshot
Designing Trustworthy AI Interfaces: A Human-Centered Approach to Explainability in Healthcare Diagnostics
inferred← citeshttps://doi.org/10.1109/rew57809.2023.00061openalex-snapshot
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)
inferred← citeshttps://doi.org/10.1109/satml54575.2023.00049openalex-snapshot
Tensions Between the Proxies of Human Values in AI
inferred← citeshttps://doi.org/10.1109/sgei63936.2024.10914211openalex-snapshot
Lightning Risk Assessment Method Considering Environmental Factors Based on Artificial Intelligence Algorithms
inferred← citeshttps://doi.org/10.1109/smc54092.2024.10831034openalex-snapshot
Can Students Understand AI Decisions Based on Variables Extracted via AutoML?
inferred← citeshttps://doi.org/10.1109/tits.2025.3550818openalex-snapshot
MADFM: Multi-Layer Adaptive Driver Fatigue Monitoring Model Based on Steering Wheel Signals
inferred← citeshttps://doi.org/10.1109/tlt.2024.3431473openalex-snapshot
Predicting Student Performance in a Programming Tutoring System Using AI and Filtering Techniques
inferred← citeshttps://doi.org/10.1109/tpami.2023.3331846openalex-snapshot
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations
inferred← citeshttps://doi.org/10.1109/tvcg.2022.3146806openalex-snapshot
StrategyAtlas: Strategy Analysis for Machine Learning Interpretability
inferred← citeshttps://doi.org/10.1109/tvcg.2022.3209435openalex-snapshot
Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing
inferred← citeshttps://doi.org/10.1109/tvcg.2025.3634245openalex-snapshot
Your Model Is Unfair, Are You Even Aware? Inverse Relationship Between Comprehension and Trust in Explainability Visualizations of Biased ML Models
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