mlsanityData to 14 Oct 2026

Human-Centered Artificial Intelligence and Machine Learning

arXiv 1901.11184 ↗First posted 31 Jan 2019cs.AIcited by 37

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Abstract (arXiv)

Humans are increasingly coming into contact with artificial intelligence and machine learning systems. Human-centered artificial intelligence is a perspective on AI and ML that algorithms must be designed with awareness that they are part of a larger system consisting of humans. We lay forth an argument that human-centered artificial intelligence can be broken down into two aspects: (1) AI systems that understand humans from a sociocultural perspective, and (2) AI systems that help humans understand them. We further argue that issues of social responsibility such as fairness, accountability, interpretability, and transparency.

Key facts. Cited by 37 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 Jan 2019.

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Citing papers per year: 2021: 5; 2022: 6; 2023: 8; 2024: 9; 2025: 7; 2026: 2.

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  1. 2024BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulationcited by 148
  2. 2023User Behavior Simulation with Large Language Model based Agentscited by 140
  3. 2021What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Researchcited by 119
  4. 2022Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanationscited by 85
  5. 2021Attention, please! A survey of Neural Attention Models in Deep Learningcited by 51
  6. 2022Investigating Explainability of Generative AI for Code through Scenario-based Designcited by 47
  7. 2021Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibrationcited by 40
  8. 2021Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AIcited by 38
  9. 2025BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activitiescited by 31
  10. 2024Mechanistic?cited by 25
  11. 2023Rationalization for Explainable NLP: A Surveycited by 22
  12. 2025HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluationcited by 19
25 more
  1. 2023XAIR: A Framework of Explainable AI in Augmented Realitycited by 17
  2. 2022Mutual Theory of Mind for Human-AI Communicationcited by 15
  3. 2023Towards More Human-like AI Communication: A Review of Emergent Communication Researchcited by 13
  4. 2022KT-BT: A Framework for Knowledge Transfer Through Behavior Trees in Multi-Robot Systemscited by 6
  5. 2023Users are the North Star for AI Transparencycited by 5
  6. 2023Decongestion by Representation: Learning to Improve Economic Welfare in Marketplacescited by 3
  7. 2024AI-Enhanced Sensemaking: Exploring the Design of a Generative AI-Based Assistant to Support Genetic Professionalscited by 3
  8. 2021Combining Transformers with Natural Language Explanationscited by 1
  9. 2023Uncertainty Quantification for Local Model Explanations Without Model Accesscited by 1
  10. 2024A Review of Cybersecurity Incidents in the Food and Agriculture Sectorcited by 1
  11. 2024Students' Perceived Roles, Opportunities, and Challenges of a Generative AI-powered Teachable Agent: A Case of Middle School Math Classcited by 1
  12. 2025Human-Centered AI and Autonomy in Robotics: Insights from a Bibliometric Studycited by 1
  13. 2025Comparing Human and AI Rater Effects Using the Many-Facet Rasch Modelcited by 1
  14. 2022Can Information Behaviour Inform Machine Learning?cited by 0
  15. 2022What Do End-Users Really Want? Investigation of Human-Centered XAI for Mobile Health Appscited by 0
  16. 2023UX Heuristics and Checklist for Deep Learning powered Mobile Applications with Image Classificationcited by 0
  17. 2024Human-Centered AI Product Prototyping with No-Code AutoML: Conceptual Framework, Potentials and Limitationscited by 0
  18. 2024Beyond Following: Mixing Active Initiative into Computational Creativitycited by 0
  19. 2024TA3: Testing Against Adversarial Attacks on Machine Learning Modelscited by 0
  20. 2024A Human-Centered Approach for Improving Supervised Learningcited by 0
  21. 2025AI Thinking as a Meaning-Centered Framework: Reimagining Language Technologies Through Community Agencycited by 0
  22. 2025The Human-Data-Model Interaction Canvas for Visual Analyticscited by 0
  23. 2025IKIWISI: An Interactive Visual Pattern Generator for Evaluating the Reliability of Vision-Language Models Without Ground Truthcited by 0
  24. 2026CoPlan: A Trustworthy Co-Intelligence Interface for Care Planning through Role-Based Contestable Argument Graphscited by 0
  25. 2026Without journalists, there is no journalism: the social dimension of generative artificial intelligence in the mediacited by 0