Overview

Human-AI collaboration studies how people and AI share tasks, exchange information, and adjust roles in settings such as clinical care, software engineering, education, science, and creative work. Approaches include task allocation and deferral, calibrated advice and ensembles, and interactive or multi-agent workflows with planning, shared context, feedback, and human checkpoints. Results depend not just on model accuracy but also on timing, user expertise, trust, task structure, and whether people can inspect and correct intermediate work. A central tension is that assistance can improve immediate outcomes while weakening independent skill, ownership, or accountability; evaluation increasingly considers interaction processes, reliance, learning, and safety alongside task success.

Latest papers

CardsList

458 papers34 papers in the last four weeks, down 24% on the four weeks before. 0.2% of all new papers.

  1. Clinician-AI Collaboration in Endovascular Neurointerventions: In-Vitro User Study of Copilot Assistance Modes for Robotic Navigation Across the Autonomy Spectrum

    Nov 2, 2026Nikola Fischer, Harry Robertshaw, S. M. Hadi Sadati +16Human-AI CollaborationRobotic Endovascular Intervention

  2. Measuring AI Agents as Teammates with Collaborative Intelligence

    Nov 2, 2026Sean Wu, Aneesh Pappu, Jiaru Zou +6AI Agent EvaluationMulti-Agent Collaboration

  3. Principled Human-AI Collaboration in Agentic Workflows

    Nov 1, 2026Young Hyun Cho, Will Wei SunHuman-AI CollaborationAgentic Workflows

  4. HiPaper: A Human-AI Collaborative System for Academic Literature Triage and Scholarly Sensemaking

    Oct 31, 2026Ye Jia, Pangjing Wu, Hayley Y. W. Gu +6AI-Assisted Scientific ResearchHuman-AI Collaboration

  5. Getting a Grip: Operating Human-Agent Software Teams Through Governed Messages

    Oct 31, 2026Michael Granitzer, Kanishka Ghosh Dastidar, Andreas Einwiller +2Multi-Agent GovernanceHuman-AI Collaboration

  6. OmniMechanism Design for Human-AI Collaboration with Impressionable Minds

    Oct 30, 2026Tianwei Gao, Yifei Pang, Lunjia Hu +4Human-AI Collaboration

  7. AutoAnalysis: An automated, self-updating meta-analysis of human-AI collaboration

    Oct 30, 2026Michelle Vaccaro, Abdullah Almaatouq, Thomas W. MaloneHuman-AI CollaborationHuman-AI Complementarity

  8. The generative paradox: the Anti-Prompt paradigm for human capability

    Oct 29, 2026Margarita Trifonov Vadim E. LevitHuman-AI CollaborationGenerative AI in Education

  9. Human--AI Interactions as First-Class Data: A Formal Interaction Model and Runtime for Explainable AI Collaboration

    Oct 29, 2026Michela Taufer, Kin Ng, Ian Lumsden +6Human-AI InteractionHuman-AI Collaboration

  10. Aligning Autoresearch: Co-Improvement between Agents and Humans

    Oct 28, 2026Tianjian Li, Chuanyang Jin, Seungone Kim +10Autonomous Research AgentsHuman-AI Collaboration

  11. When AI performs, what remains? An integrative review of generative AI and cognitive capital in individuals and organizations

    Oct 28, 2026Giuseppe Riva, Stefania La Rocca, Brenda K. Wiederhold +1Generative AI AdoptionHuman-AI Collaboration

  12. Why and How to Do Science When AI Is Better at It: A Framework Grounded in Human Understanding and Direction

    Oct 26, 2026Hoda Heidari, Aydin MohseniAI-Assisted Scientific ResearchHuman Oversight of AI

  13. Developer Task Delegation to LLMs and the Trust Factor: A Mixed Methods Study

    Oct 25, 2026Samuel Ferino, Rashina Hoda, John Grundy +2AI-Assisted Software DevelopmentHuman-AI Collaboration

  14. PersonaScienceBench: Evaluating Scientific Agents with Diverse Simulated Researchers

    Oct 23, 2026Siyang Wu, Weizhi Zhang, Chen Yang +34Scientific Agent BenchmarksLLM Agent Evaluation

  15. CoWriter: Guiding Methodological and Synergetic Human-LLM Co-Authoring

    Oct 22, 2026Shmuel Amar, Benjamin Lieber, Ori Shapira +4Human-AI CollaborationHuman-AI Co-Creation

  16. Metacognitive Scaffolds Create Productive Friction for AI-Assisted Knowledge Work

    Oct 22, 2026Viktor Kewenig, Lev Tankelevitch, Sean Rintel +2Human-AI Collaboration

  17. When Better Opportunities Backfire: Service Worker Responses to Parallel AI Deployment in Customer Acquisition

    Oct 19, 2026Xinyu Fu, Shulong Luo, Narayan Ramasubbu +3AI and LaborOrganizational AI Adoption

  18. RealCLI: Toward a Unified Evaluation of Human-Agent Collaboration for CLI Agents

    Oct 15, 2026Yunqi Liu, Peiyu Wang, Bingli Wang +21Terminal-Agent BenchmarksLLM Agent Evaluation

  19. Kolab: Benchmarking Human-Agent Collaboration in Long-Horizon Workflows

    Oct 15, 2026Shirley Anugrah Hayati, Patricia Anugrah Setiani, Ruizi Wang +4Human-AI CollaborationLong-Horizon Agent Evaluation

  20. Euler: Towards Human-Centered Multi-Agent Mathematical Discovery

    Oct 14, 2026Qiuyu Chen, Qi Wang, Liang Xu +3AI-Assisted Mathematical DiscoveryAutonomous Research Agents

  21. GUIDE: Computationally Augmented Consensus for Trustworthy Clinical Practice Guidelines

    Oct 12, 2026Yuanfan Lin, Jie Di, Xujin He +21Human-AI CollaborationMulti-Agent Consensus

  22. AI-Native Product Management: A Vision

    Oct 10, 2026Ricardo BrittoHuman-AI Collaboration

  23. Human and LLM Facilitation in Collaborative Design Meetings: A Computational Behavioral Comparison

    Oct 9, 2026Mohammed Azeez Khan, Aaron Dsouza, Ashutosh Mishra +3Human-AI CollaborationLanguage Model Generation Evaluation

  24. Collaborative Theory of Mind: Learning to Self-Revise by Anticipating User Responses

    Oct 9, 2026Fanzhi Zeng, Anubrata Das, Maytal Saar-Tsechansky +1Human-AI CollaborationTheory of Mind