The challenge of crafting intelligible intelligence
Weld, Daniel S., Bansal, Gagan·2019·Communications of the ACM
DOI 10.1145/3282486
Cited by (253)
Items 101–200 of 253
- HINT: Hierarchical Neuron Concept ExplainerAndong Wang, Wei-Ning Lee, Xiaojuan Qi · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Introducing contextual transparency for automated decision systemsMona Sloane, Ian René Solano-Kamaiko, Jun Yuan, Aritra Dasgupta, Julia Stoyanovich · 2023 · Nature Machine Intelligence
- Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect ExplanationJiamou Sun, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu, Thong Hoang, Dehai Zhao · 2023 · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
- Understanding Practices around Computational News Discovery Tools in the Domain of Science JournalismSachita Nishal, Jasmine Sinchai, Nicholas A. Diakopoulos · 2024 · Proceedings of the ACM on Human-Computer Interaction
- LIMEtree:Interactively Customisable Explanations Based on Local Surrogate Multi-output Regression TreesKacper Sokol, Peter A. Flach · 2020 · Bristol Research (University of Bristol)
- Bankruptcy prediction: Integration of convolutional neural networks and explainable artificial intelligence techniquesYu-Cheng Lin, Roni Padliansyah, Yu‐Hsin Lu, Wen-Rang Liu · 2025 · International Journal of Accounting Information Systems
- Catalyst for Creativity or a Hollow Trend?: A Cross-Level Perspective on The Role of Generative AI in DesignSyeda Masooma Naqvi, Ruichen He, Harmanpreet Kaur · 2025 · CHI Conference on Human Factors in Computing Systems
- Knowledge representation for explainable artificial intelligenceJoaquín Borrego‐Díaz, Juan Galán‐Paez · 2022 · Complex & Intelligent Systems
- Color for Characters - Effects of Visual Explanations of AI on Trust and ObservabilitySchrills, Tim, Franke, Thomas · 2020 · Lecture Notes in Computer Science
- Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language ModelsMarvin Pafla, Kate S. Larson, Mark Hancock · 2024 · CHI Conference on Human Factors in Computing Systems
- Physical Activity Recognition by Utilising Smartphone Sensor SignalsAbdulrahman Alruban, Hind Alobaidi, Nathan Clarke, Fudong Li · 2019 · International Conference on Pattern Recognition Applications and Methods
- Reliability of eXplainable Artificial Intelligence in Adversarial Perturbation ScenariosAntonio Galli, Stefano Marrone, Vincenzo Moscato, Carlo Sansone · 2021 · Lecture notes in computer science
- A Systematic Review on Model-agnostic XAI LibrariesJesús M. Darias, Belén Díaz-Agudo, Juan A. Recio-García · 2022 · Zenodo (CERN European Organization for Nuclear Research)
- LIMETREE: Consistent and Faithful Surrogate Explanations of Multiple ClassesKacper Sokol, Peter A. Flach · 2025 · Electronics
- Optimizing AI for Teamwork.Gagan Bansal, Besmira Nushi, Ece Semiha Kamar, Eric Horvitz, Daniel S. Weld · 2020 · arXiv (Cornell University)
- Two-stream neural network for the prediction of multiple defects in continuous castingXinyu Ning, Haijun Li, Qibo Wang, Fei Yang, Yanfeng Zhang, Guodong Wang · 2025 · Applied Soft Computing
- Weakly- and Semi-supervised Evidence ExtractionPruthi, Danish, Dhingra, Bhuwan, Neubig, Graham, Lipton, Zachary C. · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Characterizing Work-Life for Information Work on MarsRhema Linder, Chase Hunter, Jacob McLemore, Senjuti Dutta, Fatema Akbar, Ted Grover, Thomas Breideband, Judith Willemijn Borghouts, Yuwen Lu, Gloria J. Mark et al. · 2022 · Proceedings of the ACM on Human-Computer Interaction
- Behavioral intentions to use artificial intelligence among managers in small and medium enterprisesAlaa S. Jameel, Sinan Abdullah Harjan, Abd Rahman Ahmad · 2023 · AIP conference proceedings
- Assessing deep learning: a work program for the humanities in the age of artificial intelligenceJan Segessenmann, Thilo Stadelmann, Andrew Davison, Oliver M. Dürr · 2023 · AI and Ethics
- Experiential AI: Between Arts and Explainable AIDrew Hemment, Dave Murray-Rust, Vaishak Belle, Ruth S. Aylett, Matjaž Vidmar, Frank Broz · 2024 · Leonardo
- The influence of digital technologies on resilient performance: Contributions, drawbacks, and a research agendaTarcísio Abreu Saurin, Riccardo Patriarca, Sudeep Hegde, Michael F. Rayo · 2024 · Applied Ergonomics
- Review of Stuck Pipe Prediction Methods and Future DirectionsAbraham C. Montes, Pradeepkumar Ashok, Eric van Oort · 2025 · SPE Journal
- Special Session: Machine Learning for Semiconductor Test and ReliabilityHussam Amrouch, Animesh Basak Chowdhury, Wentian Jin, Ramesh Karri, Farshad Khorrami, P. Krishnamurthy, Ilia Polian, Victor M. van Santen, Benjamin Tan, Sheldon X.-D. Tan · 2021 · IEEE VLSI Test Symposium (VTS)
- CBCT radiomics features combine machine learning to diagnose cystic lesions in the jawXiaoyan Sha, Chao Wang, Jiayu Sun, Senrong Qi, Xiaohong Yuan, Hui Zhang, Jigang Yang · 2025 · Dentomaxillofacial Radiology
- Semantic Description of Explainable Machine Learning Workflows for Improving TrustPatricia Inoue Nakagawa, Luís Ferreira Pires, João Moreira, Luiz Olavo Bonino da Silva Santos, Faiza Allah Bukhsh · 2021 · Applied Sciences
- Künstliche Intelligenz in öffentlichen VerwaltungenMoreen Heine, Anna-Katharina Dhungel, Tim Schrills, Daniel Wessel · 2023 · Edition eGov-Campus
- Can Generative AI and ChatGPT Break Human Supremacy in Mathematics and Reshape Competence in Cognitive-Demanding Problem-Solving Tasks?Deniz Kaya, Selim Yavuz · 2025 · Journal of Intelligence
- The Fundamental Issues and Development Trends of AI-Driven Transformations in Urban Transit and Urban SpaceHaishan Xia, Renwei Liu, Lu Li, Yilan Zhang · 2025 · Sustainable Cities and Society
- Towards Utilitarian Online Learning -- A Review of Online Algorithms in Open Feature SpaceYi He, Christian Schreckenberger, Heiner Stuckenschmidt, Xindong Wu · 2023 · International Joint Conference on Artificial Intelligence
- InterroLang: Exploring NLP Models and Datasets through Dialogue-based ExplanationsNils Feldhus, Qianli Wang, Tatiana Anikina, Sahil Chopra, Cennet Oguz, Sebastian Möller · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
- Making SHAP Rap: Bridging Local and Global Insights Through Interaction and NarrativesMichael Chromik · 2021 · Lecture notes in computer science
- Brain-Computer Interfaces for Human AugmentationRiccardo Poli, Davide Valeriani, Caterina Cinel · 2019 · MDPI eBooks
- Effects of Interactivity and Presentation on Review-Based Explanations for RecommendationsDiana C. Hernandez-Bocanegra, Jürgen Ziegler · 2021 · Lecture notes in computer science
- Responsible Machine Learning for Ethical Artificial Intelligence in Business and IndustryDeepak Kumar Saxena, Markus Lamest, Veena Bansal · 2021 · Advances in business information systems and analytics book series
- Using Case-Based Reasoning for Capturing Expert Knowledge on Explanation MethodsJesús M. Darias, Marta Caro-Martínez, Belén Díaz-Agudo, Juan A. Recio-García · 2022 · Lecture notes in computer science
- Towards Trustworthy and Understandable AI: Unraveling Explainability Strategies on Simplifying Algorithms, Appropriate Information Disclosure, and High-level CollaborationShuren Yu · 2023 · International Academic Mindtrek Conference (Mindtrek)
- XAINES: Explaining AI with NarrativesMareike Hartmann, Han Du, Nils Feldhus, Ivana Kruijff‐Korbayová, Daniel Sonntag · 2022 · Künstliche Intell.
- Towards QoS-Aware RecommendationsPavlos Sermpezis, Savvas Kastanakis, João Ismael Pinheiro, Felipe M. F. de Assis, Nogueira, Mateus, Daniel Sadoc Menasché, Thrasyvoulos Spyropoulos · 2019 · arXiv (Cornell University)
- Designing for Human Data Interaction in Data-Driven Media ExperiencesNeelima Sailaja, Rhianne Jones, Derek McAuley · 2021 · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)
- Understanding Is a ProcessLeslie M. Blaha, Mitchell Abrams, Sarah Bibyk, Claire Bonial, Beth M. Hartzler, Christopher D. Hsu, Sangeet Khemlani, Jayde M. King, Robert St. Amant, J. Gregory Trafton et al. · 2022 · Frontiers in Systems Neuroscience
- Basic Issues and Challenges on Explainable Artificial Intelligence (XAI) in Healthcare SystemsIdowu Dauda Oladipo, Joseph Bamidele Awotunde, Muyideen AbdulRaheem, Shakirat Aderonke Salihu · 2022 · Advances in medical technologies and clinical practice book series
- Keeping judges in the loop: a human–machine collaboration strategy against the blind spots of AI in criminal justiceNicola Lettieri, Alfonso Guarino, Rocco Zaccagnino, Delfina Malandrino · 2023 · Soft Computing
- reSHAPe: A Framework for Interactive Explanations in XAI Based on SHAPMichael Chromik · 2020 · Gesellschaft für Informatik (GI)
- Uncovering Semantic Bias in Neural Network Models Using a Knowledge GraphAndriy Nikolov, Mathieu d’Aquin · 2020 · ACM International Conference on Information and Knowledge Management (CIKM)
- Unifying Principles and Metrics for Safe and Assistive AISiddharth Srivastava · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
- Explainable Failure Predictions with RNN Classifiers based on Time Series DataIoana Giurgiu, Anika Schumann · 2019 · arXiv (Cornell University)
- Efficient Explanations for Knowledge Compilation LanguagesXuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin Cooper, Nicholas M. Asher, João P. Marques-Silva · 2021 · arXiv (Cornell University)
- AIMEE: An Exploratory Study of How Rules Support AI Developers to Explain and Edit ModelsDavid Piorkowski, Inge Vejsbjerg, Owen Cornec, Elizabeth Daly, Öznur Alkan · 2023 · Proceedings of the ACM on Human-Computer Interaction
- Deciphering the Enigma: A Deep Dive into Understanding and Interpreting LLM OutputsYifei Wang · 2023
- How AI-based computer vision algorithms are impacting the sports industry: a surveyLuca Francesco Rossi, Andrea Sanna, Federico Manuri, Mattia Donna Bianco · 2025 · Discover Artificial Intelligence
- LIMEADE: From AI Explanations to Advice TakingBenjamin Charles Germain Lee, Doug Downey, Kyle Lo, Daniel S. Weld · 2023 · ACM Transactions on Interactive Intelligent Systems
- EUCA: A Practical Prototyping Framework towards End-User-Centered Explainable Artificial Intelligence.Weina Jin, Jianyu Fan, Diane Gromala, Philippe Pasquier, Ghassan Hamarneh · 2021 · arXiv (Cornell University)
- Efficient Explanations With Relevant SetsYacine Izza, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, Joao Marques-Silva · 2021 · arXiv.org
- Radiology, AI and Big Data: Challenges and Opportunities for Medical ImagingHouneida Sakly, Aline Sgnolf Ayres, Suely Fazio Ferraciolli, Cláudia da Costa Leite, Felipe Kitamura, Mourad Said · 2022 · Integrated science
- Predicting the need for XAI from high-granularity interaction dataVagner Figuerêdo de Santana, Ana Fucs, Vinícius Segura, Daniel Brugnaro de Moraes, Renato Cerqueira · 2023 · International Journal of Human-Computer Studies
- Signs of the Time: Making AI LegibleJoseph Lindley, Paul Coulton, Haider Ali Akmal, Franziska Louise Pilling · 2020 · Proceedings of DRS
- Explanation-Based Tuning of Opaque Machine Learners with Application to Paper RecommendationBenjamin Charles Germain Lee, Kyle Lo, Doug Downey, Daniel S. Weld · 2020 · arXiv (Cornell University)
- Next Big Challenges in Core AI TechnologyAndreas R. Dengel, Oren Etzioni, Nicole DeCario, Holger H. Hoos, Li Fei-Fei, Jun’ichi Tsujii, Paolo Traverso · 2021 · Lecture notes in computer science
- Artificial Intelligence and Machine LearningLuisa Mich · 2022 · Springer eBooks
- What Else Do I Need to Know? The Effect of Background Information on Users’ Reliance on QA SystemsNavita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey C. Micher, Clare R. Voss, Marine Jacinthe Carpuat, Hal Daumé · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
- A User Study on Explainable Online Reinforcement Learning for Adaptive SystemsAndreas Metzger, Jan Laufer, Felix Feit, Klaus Pohl · 2024 · ACM Transactions on Autonomous and Adaptive Systems
- Exploring the Role of Trust during Human-AI Collaboration in Managerial Decision-Making ProcessesSerdar Tuncer · 2022
- The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPRLaura State, Alejandra Bringas Colmenarejo, Andrea Beretta, Salvatore Ruggieri, Franco Turini, Stephanie Law · 2025 · Artificial Intelligence and Law
- The Role of Initial Acceptance Attitudes Toward AI Decisions in Algorithmic RecourseTomu Tominaga, Naomi Yamashita, Takeshi Kurashima · 2025 · CHI Conference on Human Factors in Computing Systems
- Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiersEmanuele Albini, Antonio Rago, Pietro Baroni, Francesca Toni · 2023 · Frontiers in Artificial Intelligence
- Explicabilité et conditions d’appropriation de l’intelligence artificielle : une ressource au service du management ?Yann Ferguson, David Rodriguez, Didier Chabanet, Damien Richard · 2024 · Question(s) de management
- A Fuzzy Logic-Based Approach to Predict Human Interaction by Functional Near-Infrared SpectroscopyXiaowei Jiang, Liang Shiou Ou, Yanan Chen, Na Ao, Yu‐Cheng Chang, Thomas Do, Chin‐Teng Lin · 2025 · IEEE Transactions on Fuzzy Systems
- A Functionally-Grounded Benchmark Framework for XAI Methods: Insights and Foundations from a Systematic Literature ReviewDulce Canha, Sylvain Kubler A, Kary Främling, Guy Fagherazzi · 2025 · ACM Computing Surveys
- Influence of context on users’ views about explanations for decision-tree predictionsSameen Maruf, Ingrid Zukerman A, Ehud Reiter, Gholamreza Haffari · 2023 · Computer Speech & Language
- Artificial intelligence in forensic psychiatry: admissibility and relevance before courtsReema Bhattacharya, Aqueeda Khan · 2023 · International Journal of Systems Assurance Engineering and Management
- Making Bayesian Predictive Models Interpretable: A Decision Theoretic ApproachHomayun Afrabandpey, Tomi Peltola, Juho Piironen, Aki Vehtari, Samuel Kaski A · 2019 · arXiv (Cornell University)
- Interpretable Policy Specification and Synthesis through Natural Language and RLPradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew Gombolay · 2021 · arXiv (Cornell University)
- Review of Stuck Pipe Prediction Methods and Future DirectionsAbraham C. Montes, Pradeepkumar Ashok, Eric van Oort · 2024 · SPE Annual Technical Conference and Exhibition
- Conversational Agents for Recommender SystemsAndrea Iovine · 2020 · ACM Conference on Recommender Systems (RecSys)
- Human Data Interaction in Data-Driven Media Experiences : An Exploration of Data Sensitive Responses to the Socio-Technical Challenges of Personal Data LeverageNeelima Sailaja, Rhianne Jones, Derek McAuley · 2021 · ACM International Conference on Interactive Media Experiences
- Distant Event Prediction Based on Sequential RulesLina Fahed, Philippe Lenca, Yannis Haralambous, Riwal Lefort · 2020 · HAL
- Investigating Cross-Modal Approaches for Evaluating Error Acceptability of a Recognition-Based Input TechniqueJay Henderson, Tanya R. Jonker, Edward Lank, Daniel Wigdor, Ben Lafreniere · 2022 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
- Characterizing Data Scientists’ Mental Models of Local Feature ImportanceDennis Collaris, Hilde J. P. Weerts, D. Miedema, J. V. van Wijk, Mykola Pechenizkiy · 2022 · Nordic Conference on Human-Computer Interaction
- Inexplicable AI in Medicine as a Form of Epistemic OppressionChristian Herzog · 2022 · IEEE International Symposium on Technology and Society (ISTAS)
- Relative Keys: Putting Feature Explanation into ContextShuai An, Yang Cao · 2024 · Proceedings of the ACM on Management of Data
- The Importance of Studying and Guarding Against Systemic Automation FailuresEmilie M. Roth · 2024 · Journal of Cognitive Engineering and Decision Making
- Human-AI Co-Learning for Data-Driven AIYi‐Ching Huang, Yu-Ting Cheng, Linlin Chen, Jane Yung-jen Hsu · 2019 · arXiv (Cornell University)
- Deciphering the Enigma: A Deep Dive into Understanding and Interpreting LLM OutputsYifei Wang · 2023
- Assessing Deep Learning: A Work Program for the Humanities in the Age of Artificial IntelligenceJan Segessenmann, Thilo Stadelmann, Andrew Davison, Oliver Dürr · 2023 · SSRN Electronic Journal
- What Do People Want to Know about Artificial Intelligence (AI)? The Importance of Answering End-user Questions to Explain Autonomous Vehicle (AV) DecisionsSomayeh Molaei, Lionel Robert, Nikola Banović · 2025 · Proceedings of the ACM on Human-Computer Interaction
- SepsisVision: Web-Based Support Tool for Sepsis Mortality Risk Screening Through Explanatory and Exploratory User InterfacesKent Fredriksdotter, Alejandro Kuratomi, Lena Mondrejevski, Luis Quintero · 2026 · Communications in computer and information science
- Reason to Explain: Interactive Contrastive Explanations (REASONX)Laura State, Salvatore Ruggieri, Franco Turini · 2023 · Communications in computer and information science
- BANSAI: Towards Bridging the AI Adoption Gap in Industrial Robotics with Neurosymbolic ProgrammingBenjamin Alt, Julia Dvorak, Darko Katić, Rainer Jäkel, Michael Beetz, Gisela Lanza · 2024 · Procedia CIRP
- Explanation framework for industrial recommendation systems based on the generative adversarial network with embedding constraintsBinchuan Qi, Wei Gong, Li Li · 2025 · Autonomous Intelligent Systems
- Towards Semantic Description of Explainable Machine Learning WorkflowsPatricia Inoue Nakagawa, Luís Ferreira Pires, João Moreira, Luiz Olavo Bonino da Silva Santos · 2021 · IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW)
- Local Score Dependent Model Explanation for Time Dependent CovariatesXochitl Watts, Freddy Lécué · 2019 · arXiv (Cornell University)
- Introducing and assessing the explainable AI (XAI)method: SIDUSatya M. Muddamsetty, Mohammad N. S. Jahromi, Andreea E. Ciontos, Laura M. Fenoy, Thomas Baltzer Moeslund · 2021 · arXiv (Cornell University)
- Inteligencia artificial y confianza a través de una comunicación científica comprensible: un compromiso ético con la ciudadaníaAntonio Luis Terrones Rodríguez · 2024 · ENDOXA
- Explain it as simple as possible, but no simpler – Explanation via model simplification for addressing inferential gapSarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati B · 2025 · Artificial Intelligence
- Explainable Machine Learning for Mental Health Detection Using NLPNoor Ul Ain Mushtaq, Sanam Narejo, Syed Amjad Ali, Muhammad Moazzam Jawaid · 2025 · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL
- Mobile Shopping App Usage by Staff at Onaizah CollegesAhmed Medjedel · 2025 · Financial Engineering
- Cartesian Methodical Doubt: A Cognitive Framework for Reasoning and Explainability in AI SystemsSandeep Ozarde, Silvio Carta · 2026 · Lecture notes in computer science
- Explanation strategies in smart environments: Effects on usability, system understanding, and task performanceMersedeh Sadeghi, Simon Scholz, Anna Trapp, Max Unterbusch, Andreas Vogelsang · 2026 · Journal of Systems and Software
- Designing Effective Training Dataset Explanations: The Impact of Information Depth and Progressive DisclosureAriful Islam Anik, Andrea Bunt · 2026 · ACM International Conference on Intelligent User Interfaces (IUI)