The challenge of crafting intelligible intelligence

Weld, Daniel S., Bansal, Gagan·2019·Communications of the ACM

Cited by (253)

Items 201–253 of 253

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  4. PhD Forum Abstract: Understanding Deep Model Compression for IoT Devices
    Rahim Entezari · 2020 · ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
  5. A Human-Centered Interpretability Framework Based on Weight of Evidence.
    David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé, Hanna Wallach, Jennifer Wortman Vaughan · 2021
  6. Artificial Intelligence-Based Intelligent Human-Computer Interaction
    Pinaki Pratim Acharjya, Subhankar Joardar, Santanu Koley · 2023 · Advances in computer and electrical engineering book series
  7. "When Can I Trust It?" Contextualising Explainability Methods for Classifiers
    Lars Holmberg · 2023 · International Conference on Machine Learning Technologies (ICMLT)
  8. INFEATURE: An Interactive Feature-Based-Explanation Framework for Non-technical Users
    Yulu Pi · 2023 · Lecture notes in computer science
  9. A qualified defense of top-down approaches in machine ethics
    Tyler Cook · 2023 · AI & Society
  10. Vers l’XAI sémantique – la troisième vague de l’intelligence artificielle explicable
    Mathias Bollaert, Gilles Coppin · 2024 · Ingénierie cognitique
  11. Legible AI by Design: Design Research to Frame, Design, Empirically Test and Evaluate AI Iconography
    Franziska Louise Pilling, Haider Ali Akmal, Adrian Gradinar, Joseph Lindley, Paul Coulton · 2024 · UNSWorks (University of New South Wales, Sydney, Australia)
  12. Automata-based Explainable Representation for a Complex System of Multivariate Times Series
    Ikram Chraibi Kaadoud, Lina Fahed, Tian Tian, Yannis Haralambous, Philippe Lenca · 2022 · International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
  13. Promoting Family Healthy Lifestyles Through Explainable Ai-Mediated Communication
    Chun-Hua Tsai, Jomara Sandbulte, John M. Carroll · 2022 · SSRN Electronic Journal
  14. Beyond the Technical Horizon: The Influence of Self-Regulated Learning and Generative Ai Anxiety on Managers’ Adoption Decision
    Jing Su, Zhao Li, Qile He · 2025 · SSRN Electronic Journal
  15. Recent advances in formal explainability
    Xuanxiang Huang · 2023 · theses.fr (ABES)
  16. Transparent Authentication Utilising Gait Recognition
    Hind Alobaidi · 2019 · PEARL (University of Plymouth)
  17. Vec2Struc: A Method Towards Explainable Structural-Based Node Embeddings.
    Srishti Tomar, Ryan Compton · 2020 · AAAI Spring Symposium Combining Machine Learning with Knowledge Engineering
  18. Towards Participatory Design Spaces for Explainable AI Interfaces in Expert Domains (Short Paper).
    Henrik Mucha, Sebastian Robert, Rüdiger Breitschwerdt, Michael Fellmann M.A. · 2020
  19. LIMEADE: A General Framework for Explanation-Based Human Tuning of Opaque Machine Learners.
    Benjamin Charles Germain Lee, Doug Downey, Kyle Lo, Daniel S. Weld · 2021 · arXiv (Cornell University)
  20. Convergence of Data Science and Blockchain
    Ashish Shugani, M Namratha, Shashank Kumar · 2021 · OITS International Conference on Information Technology (OCIT)
  21. IA, robotique, automatisation : quelles évolutions pour l’activité humaine ?
    Yvon Haradji, Moustafa Zouinar, Catherine Delgoulet, Alexandre Morais · 2020 · Activites
  22. Distribution of Data Power in Human-Machine Collaboration
    Xinglong Tang, Xu Yang · 2022
  23. Erklärbare KI
    Tim Schrills · 2023 · Edition eGov-Campus
  24. What kind of Explainable AI do users need?
    Alessandra Buccella, Emma Chen, Erik J. Linstead, Uri Maoz · 2023
  25. Perspectives and Final Remarks
    Gilson Antonio Giraldi, Liliane Rodrigues de Almeida, Antônio Lopes Apolinário, Leandro Tavares da Silva · 2023 · SpringerBriefs in mathematics
  26. RETRACTED: Algorithmic Bias: An Integrative Review and Scope for Future Research
    Amit Chaudhary · 2024 · Research Square · Retracted
  27. Is Artificial Intelligence Trustworthy? An Empirical Investigation to Adopt Generative AI for Cyber Threat Intelligence Using Valence Framework
    Vidyavati Ramteke, Dhanya Pramod, Kanchan Pranay Patil · 2024 · Smart innovation, systems and technologies
  28. Conversational XAI and Explanation Dialogues
    Nils Feldhus · 2024 · Young Researchers' Roundtable on Spoken Dialogue Systems (YRRSDS)
  29. Towards Transparent Ethical AI: A Roadmap for Trustworthy Robotic Systems
    Ahmad Farooq, Kamran Iqbal · 2025 · International Conference on Robotics, Control and Vision Engineering (RCVE)
  30. Techniques to Improve the Utility of Synthetic Data Using XAI and Tabular GAN-Based Approaches
    Minchae Song · 2025 · Communications in computer and information science
  31. A Balancing Act: Navigating Effort, Sustainability, Explainability, and Disconnection in Personal Informatics Ecologies for Physical Activity MHCI002
    Ahed Aladwan · 2025 · Proceedings of the ACM on Human-Computer Interaction
  32. Counterfactual Explanations with Graded Interactivity: Effects on Mental-Model Formation and Explanation Satisfaction
    Lena Kölmel, Maximilian Becker, Finn Schwall, Jutta Hild, Pascal Birnstill, Barbara Deml, Jürgen Beyerer · 2025 · SSRN Electronic Journal
  33. A Photographer Guided Framework for Web Image Falsification Detection Using Vision Language Models and Segmentation Tools
    Aldi Muhamad Fitrah, Nanang Husin · 2025 · International Conference on Cyber and IT Service Management (CITSM)
  34. Revealing the human-like similarities in automated facial expression recognition: an empirical investigation using eXplainable artificial intelligence
    Sayan Kumar Bhowmick, Asit Barman, Swalpa Kumar Roy, Paramartha Dutta · 2026 · Multimedia Tools and Applications
  35. Managing the sXAI Interaction: Beliefs, Goals, and Decisional Processes
    Rachid Alami, Britta Wrede · 2026 · Springer eBooks
  36. Multimodality in Explanatory Interactions
    Friederike Kern · 2026 · Springer eBooks
  37. Innovative Models Based on Geometric Calculus for Explainable Artificial Intelligence
    Silvia Franchini, Francesco Prinzi, Salvatore Vitabile · 2025 · Springer eBooks
  38. Soutenir la dimension constructive de l’activité instrumentée par des dispositifs techniques à base d’intelligence artificielle : une approche développementale de la conception centrée sur le modèle du sujet capable
    Marion Gras gentiletti · 2022
  39. Sensemaking in Multi-Agent LLM Interfaces: How Users Interpret Transparency and Trustworthiness Cues
    Saumya Pareek, Jarod Govers, Naja Kathrine Kollerup, Emily Wong, Eduardo Velloso, Jorge Gonçalves · 2026 · CHI Conference on Human Factors in Computing Systems
  40. An Introduction to Explainable Artificial Intelligence Applications for Industrial-Organizational Psychology
    Bradley D. Pitcher, Pengda Wang · 2026 · Oxford University Press eBooks
  41. Explaining Facial Expression Recognition for Human Understanding and Model Personalisation
    Sanjeev Nahulanthran, Mor Vered, Dana Kulić, Leimin Tian · 2026 · Research Square
  42. People Can Accurately Predict Behavior of Complex Algorithms That Are Available, Compact, and Aligned CSCW031
    Lindsay Popowski, Helena Vasconcelos, Ignacio Javier Fernandez Heinsen, Chijioke Mgbahurike, Ralf Herbrich, Jeffrey T. Hancock, Michael S. Bernstein · 2026 · Proceedings of the ACM on Human-Computer Interaction
  43. Causality-Aware and Explainable Self-Supervised Spatio-Temporal Graph Learning for Hardware Trojan Detection
    Khalil M. Abdelnaby · 2026 · Symmetry
  44. Comparing Explanatory and Exploratory Explainable User Interfaces for AI-Supported Clinical Decision-Making: A Within-Subjects Study with Healthcare Professionals (Preprint)
    Kent Fredriksdotter, Alejandro Kuratomi, Luis Quintero · 2026
  45. ContextESM: Using LLM-Generated Summaries from Contextual Data to Support Experience Sampling Methods
    Tianqin Lu, Rong-Hao Liang, Jun Hu, Pieter M. E. Van Gorp, Panos Markopoulos · 2026 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  46. Developers’ Blind Spot: Designing Systems to Enable Stakeholders’ Understanding of Ethical Qualities
    Gianluca De Ninno, Martina De Sanctis, Paola Inverardi, Romina Spalazzese, Christos Tsigkanos · 2026 · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
  47. AISA: A Hybrid Human-AI Evaluation Framework for Trustworthy AI Benchmarking
    Yasser El Hardouz · 2026 · International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
  48. Data-Driven Framework for Anomaly Identification and Process Optimization in Continuous Casting
    Xinyu Ning, Jiyang Zhang, Haijun Li, Yanfeng Zhang, Guodong Wang · 2026 · Metallurgical and Materials Transactions B
  49. Multimodal Vision-Language Models for High- Stakes Decision Making
    Banita Mandal, Sameer Sardana, Devkinandan Garg · 2026 · IEEE Global Symposium on Emerging and Communication Technologies (GSEACT)
  50. Governing Input Modality with AI in Multimodal Interfaces: Effects on Performance, Usability, and Cognitive Experience
    Pradeep Periasamy · 2026 · Lecture notes in networks and systems
  51. Comparing Explanatory and Exploratory Explainable User Interfaces for AI-Supported Clinical Decision-Making: A Within-Subjects Study with Healthcare Professionals (Preprint)
    Kent Fredriksdotter, Alejandro Kuratomi, Luis Quintero · 2026 · JMIR Human Factors
  52. Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
    Das, Arun, Rad, Paul · 2020 · arXiv
  53. Untitled work
    2019