mlsanityData to 13 Oct 2026

Human-in-the-loop Artificial Intelligence

arXiv 1710.08191 ↗First posted 23 Oct 2017cs.AIcited by 40

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Abstract (arXiv)

Little by little, newspapers are revealing the bright future that Artificial Intelligence (AI) is building. Intelligent machines will help everywhere. However, this bright future has a dark side: a dramatic job market contraction before its unpredictable transformation. Hence, in a near future, large numbers of job seekers will need financial support while catching up with these novel unpredictable jobs. This possible job market crisis has an antidote inside. In fact, the rise of AI is sustained by the biggest knowledge theft of the recent years. Learning AI machines are extracting knowledge from unaware skilled or unskilled workers by analyzing their interactions. By passionately doing their jobs, these workers are digging their own graves. In this paper, we propose Human-in-the-loop Artificial Intelligence (HIT-AI) as a fairer paradigm for Artificial Intelligence systems. HIT-AI will reward aware and unaware knowledge producers with a different scheme: decisions of AI systems generating revenues will repay the legitimate owners of the knowledge used for taking those decisions. As modern Robin Hoods, HIT-AI researchers should fight for a fairer Artificial Intelligence that gives back what it steals.

Key facts. Cited by 40 papers in the map (data through 13 Oct 2026). First posted on arXiv 23 Oct 2017.

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Cited by year (2026 to 13 Oct)

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

40 papers.

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  1. 2021Fine-Grained Image Analysis with Deep Learning: A Surveycited by 135
  2. 2022Leveraging Explanations in Interactive Machine Learning: An Overviewcited by 53
  3. 2021Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AIcited by 38
  4. 2022A Unified Review of Deep Learning for Automated Medical Codingcited by 26
  5. 2022ProtoTEx: Explaining Model Decisions with Prototype Tensorscited by 21
  6. 2023XAIR: A Framework of Explainable AI in Augmented Realitycited by 17
  7. 2026Intelligent AI Delegationcited by 17
  8. 2022Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedbackcited by 13
  9. 2024Monitored Markov Decision Processescited by 10
  10. 2021On the Importance of Domain-specific Explanations in AI-based Cybersecurity Systems (Technical Report)cited by 7
  11. 2025SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Interventioncited by 7
  12. 2022Tight Performance Guarantees of Imitator Policies with Continuous Actionscited by 6
28 more
  1. 2026ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge Evolutioncited by 6
  2. 2022A-Eye: Driving with the Eyes of AI for Corner Case Generationcited by 5
  3. 2024Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Informationcited by 5
  4. 2024Machine learning in business process management: A systematic literature reviewcited by 5
  5. 2022Manifestations of Xenophobia in AI Systemscited by 4
  6. 2023Artificial Intelligence Studies in Cartography: A Review and Synthesis of Methods, Applications, and Ethicscited by 4
  7. 2025World Models in Artificial Intelligence: Sensing, Learning, and Reasoning Like a Childcited by 4
  8. 2026Toward Safe and Responsible AI Agents: A Three-Pillar Model for Transparency, Accountability, and Trustworthinesscited by 3
  9. 2021Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoringcited by 2
  10. 2025Humans Coexist, So Must Embodied Artificial Agentscited by 2
  11. 2025Reduced AI Acceptance After the Generative AI Boom: Evidence From a Two-Wave Survey Studycited by 2
  12. 2024"It is there, and you need it, so why do you not use it?" Achieving better adoption of AI systems by domain experts, in the case study of natural science researchcited by 1
  13. 2024Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimatorscited by 1
  14. 2025Deployability-Centric Infrastructure-as-Code Generation: Fail, Learn, Refine, and Succeed through LLM-Empowered DevOps Simulationcited by 1
  15. 2026A Human-in/on-the-Loop Framework for Accessible Text Generationcited by 1
  16. 2026ShopEase: A Generative AI-Based Multi-Agent Framework for Intelligent Enterprise Customer Support Using Hybrid Retrieval-Augmented Generationcited by 1
  17. 2021Power of human-algorithm collaboration in solving combinatorial optimization problemscited by 0
  18. 2021Demonstrating REACT: a Real-time Educational AI-powered Classroom Toolcited by 0
  19. 2021Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industrycited by 0
  20. 2022Identifying stimulus-driven neural activity patterns in multi-patient intracranial recordingscited by 0
  21. 2022Active Informed Consent to Boost the Application of Machine Learning in Medicinecited by 0
  22. 2023Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML)cited by 0
  23. 2023Position Paper on Dataset Engineering to Accelerate Sciencecited by 0
  24. 2023Balancing Explainability-Accuracy of Complex Modelscited by 0
  25. 2023Eliciting Model Steering Interactions from Users via Data and Visual Design Probescited by 0
  26. 2025Human-Centered Human-AI Interaction (HC-HAII): A Human-Centered AI Perspectivecited by 0
  27. 2026AIVV: Neuro-Symbolic LLM Agent-Integrated Verification and Validation for Trustworthy Autonomous Systemscited by 0
  28. 2026Reciprocal Trust and Distrust in Artificial Intelligence Systems: The Hard Problem of Regulationcited by 0