Overview

Human-in-the-loop AI studies how people can teach, correct, guide, or oversee AI systems, from labeling examples in active learning to providing preferences in reinforcement learning and reviewing agent decisions. Common approaches include interactive interfaces, learning to defer uncertain cases to experts, and using human demonstrations or corrections to adapt robots and other systems during deployment. Applications range from medical decision support and education to robotics, scientific research, and software engineering, evaluated through benchmarks, user studies, and real-world trials. A central tension is how to make human input effective without creating excessive workload or encouraging overreliance, while preserving people’s ability to understand, challenge, and override AI decisions.

Latest papers

CardsList

290 papers30 papers in the last four weeks, down 9% on the four weeks before. 0.2% of all new papers.

  1. From Surface Learning to Deep Understanding: A Grounded AI Tutoring System for Moodle

    May 7, 2026Anna Ostrowska, Michał Kukla, Gabriela Majstrak +4Intelligent Tutoring SystemsAI in Education

  2. PersonaTeaming: Supporting Persona-Driven Red-Teaming for Generative AI

    May 7, 2026Wesley Hanwen Deng, Mingxi Yan, Sunnie S. Y. Kim +5Adversarial Prompt GenerationLLM Red Teaming

  3. AICoFe: Implementation and Deployment of an AI-Based Collaborative Feedback System for Higher Education

    May 6, 2026Alvaro Becerra, Alejandra Palma, Ruth CobosGenerative AI in EducationHuman-in-the-Loop AI

  4. A Workflow-Oriented Framework for Asynchronous Human-AI Collaboration in Hybrid and Compute-Intensive HPC Environments

    May 5, 2026Sergio Mendoza, Cedric Bhihe, Natalia Zamora +5High-Performance ComputingHuman-in-the-Loop AI

  5. U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning

    May 4, 2026Christine P Lee, Xinyu Jessica Wang, Aws Albarghouthi +2LLM PlanningHuman-in-the-Loop AI

  6. Reliable AI Needs to Externalize Implicit Knowledge: A Human-AI Collaboration Perspective

    May 3, 2026Hengyu Liu, Tianyi Li, Zhihong Cui +5AI Agent ReliabilityHuman-in-the-Loop AI

  7. MILD: Mediator Agent System with Bidirectional Perception and Multi-Layered Alignment for Human-Vehicle Collaboration

    May 2, 2026Jiyao Wang, Yunbiao Wang, Yubo Jiao +6AI AlignmentAI Agent Safety

  8. Virtual Speech Therapist: A Clinician-in-the-Loop AI Agent for Speech Therapy Planning

    May 1, 2026Shakeel Sheikh, Patrick Marmaroli, MD Sahidullah +4Speech ProcessingHuman-in-the-Loop AI

  9. Sketch-to-Layout: A Human-Centric Computational Agent for Constraint-Aware Synthesis of Modular Photobioreactors

    May 1, 2026Xiujin Liu, Shuqi Li, Yuxin LinHuman-in-the-Loop AI

  10. Human-in-the-Loop Meta Bayesian Optimization for Fusion Energy and Scientific Applications

    Apr 30, 2026Ricardo Luna Gutierrez, Sahand Ghorbanpour, Ejaz Rahman +5Meta-LearningBayesian Optimization

  11. TSAssistant: A Human-in-the-Loop Agentic Framework for Automated Target Safety Assessment

    Apr 27, 2026Xiaochen Zheng, Zhiwen Jiang, David Tokar +5LLM Agent OrchestrationHuman-in-the-Loop AI

  12. Revisable by Design: A Theory of Streaming LLM Agent Execution

    Apr 25, 2026Zhiyuan Zhai, Ming Li, Xin WangHuman-in-the-Loop AILLM Agents

  13. AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report

    Apr 25, 2026Eduardo Oliveira, Michael Fu, Patanamon Thongtanunam +2Self-Regulated LearningGenerative AI in Education

  14. FormalScience: Scalable Human-in-the-Loop Autoformalisation of Science with Agentic Code Generation in Lean

    Apr 24, 2026Jordan Meadows, Lan Zhang, Andre FreitasHuman-in-the-Loop AIAgentic Code Generation

  15. Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training

    Apr 23, 2026Yaxuan Li, Zhongyi Zhou, Yefei Chen +5Robot Policy LearningRobot Policy Adaptation

  16. Mind the Prompt: Self-adaptive Generation of Task Plan Explanations via LLMs

    Apr 22, 2026Gricel Vázquez, Alexandros Evangelidis, Sepeedeh Shahbeigi +2Explainable Artificial IntelligenceHuman-in-the-Loop AI

  17. pAI/MSc: ML Theory Research with Humans on the Loop

    Apr 22, 2026Mahmoud Abdelmoneum, Pierfrancesco Beneventano, Tomaso PoggioMulti-Agent LLM SystemsAI-Assisted Scientific Research

  18. Auditing and Controlling AI Agent Actions in Spreadsheets

    Apr 22, 2026Sadra Sabouri, Zeinabsadat Saghi, Run Huang +4Human-in-the-Loop AIAI Agent Monitoring

  19. From Fuzzy to Formal: Scaling Hospital Quality Improvement with AI

    Apr 21, 2026Patrick Vossler, Jean Feng, Venkat Sivaraman +9Human-in-the-Loop AIAutomatic Prompt Optimization

  20. BONSAI: A Mixed-Initiative Workspace for Human-AI Co-Development of Visual Analytics Applications

    Apr 21, 2026Thilo Spinner, Matthias Miller, Fabian Sperrle-Roth +1Multi-Agent CollaborationHuman-in-the-Loop AI

  21. CoAct: Co-Active LLM Preference Learning with Human-AI Synergy

    Apr 19, 2026Ruiyao Xu, Mihir Parmar, Tiankai Yang +3RL for Language ModelsLLM Alignment

  22. An AI Co-Data-Scientist for Prioritizing Candidate Biomarkers from Wearable Sensor Data

    Apr 16, 2026Yubin Kim, Salman Rahman, Samuel Schmidgall +33AI Agents for Scientific DiscoveryScientific Discovery

  23. GDPR Auto-Formalization with AI Agents and Human Verification

    Apr 16, 2026Ha Thanh Nguyen, Wachara Fungwacharakorn, Sabine Wehnert +6Human-in-the-Loop AI

  24. Toward Human-AI Complementarity Across Diverse Tasks

    Apr 13, 2026Yuzheng Xu, Annya Dahmani, Matthew D. Blanchard +13Human-AI ComplementarityHuman-AI Decision Making