Human-AI Collaboration

Follow this topic Ask about this topic

Latest papers 429

46 papers in the last four weeks, up 5% on the four weeks before. 0.3% of all new papers.

All topics

Better together? A performance theory of human-machine skill policies under generalization difficulty
Oct 12, 2026Riccardo ZanardelliHuman-AI Decision Making Human-AI Collaboration
GUIDE: Computationally Augmented Consensus for Trustworthy Clinical Practice Guidelines
Oct 12, 2026Yuanfan Lin, Jie Di, Xujin He +21Human-AI Collaboration Multi-Agent Consensus
Zhongshan Ophthalmic Center, Sun Yat-sen University, WHO Collaborating Centre for Eye Care and Vision, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China · Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China · Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, Hainan, China +2
AI-Native Product Management: A Vision
Oct 10, 2026Ricardo BrittoHuman-AI Collaboration
Ericsson, Sweden
Human and LLM Facilitation in Collaborative Design Meetings: A Computational Behavioral Comparison
Oct 9, 2026Mohammed Azeez Khan, Aaron Dsouza, Ashutosh Mishra +3Human-AI Collaboration Language Model Generation Evaluation
Department of Computer Science and Engineering, National Institute of Technology Warangal, Warangal, India · Department of Electronics and Communication Engineering, National Institute of Technology Warangal, Warangal, India · Department of Computer Science and Engineering, Nawab Shah Alam Khan College of Engineering and Technology, Hyderabad, India +2
Collaborative Theory of Mind: Learning to Self-Revise by Anticipating User Responses
Oct 9, 2026Fanzhi Zeng, Anubrata Das, Maytal Saar-Tsechansky +1Human-AI Collaboration Theory of Mind
The University of Texas at Austin · Autodesk
Intent Graph: Navigating the Analytical Reasoning Space for Exploratory Data Analysis
Oct 8, 2026Junran Yang, Shruti Badrish, Teanna Barrett +1Human-AI Collaboration LLM Reasoning with Graphs
University of Washington Seattle, Washington, USA
The Handover Problem: Governing Autonomy Transitions in Human-AI Collaboration
Oct 7, 2026Vicente Pelechano, Antoni Mestre, Manoli Albert +1Human-AI Collaboration AI Governance
VRAIN, Universitat Politècnica de València, Valencia, Spain · Universitat de València, Valencia, Spain
Why Software Engineering Is Indispensable in the Age of Coding Agents
Oct 7, 2026Alfonso FuggettaSoftware Engineering AI-Assisted Software Development
Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milan, Italy
Dual- versus Single-Suggestion AI Support for Radiographic Interpretation in Residents: Randomized Multireader Study
Oct 7, 2026Lin Wu, Zhe Xu, Hongyi Wang +10AI-Assisted Decision Making Human-AI Collaboration
Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University · Jiangxi Province Medical Imaging Research Institute · Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China +6
Ream: Unfolding Mutual Awareness in Human-Agent Workspaces
Oct 7, 2026Peiling Jiang, Sangho Suh, Varsha Kishore +6Human-AI Collaboration AI Agents for Scientific Discovery
University of California San Diego La Jolla, California, USA · Allen Institute for AI (Ai2) · Allen Institute for AI Seattle, WA, USA +1
An AI-Assisted Formalization of the Poincaré Conjecture
Oct 6, 2026Zhiyuan Zhang, Axel Delaval, Leheng Chen +6Human-AI Collaboration Human-in-the-Loop AI
School of Mathematical Sciences, Peking University · Beijing International Center for Mathematical Research, Peking University · Zhongguancun Academy +5
Novice Reliance Calibration in AI-Assisted Decision Making: The Role of Explanations and Self-Assessment
Oct 6, 2026Eun Jeong Kang, Peter, Duan +1Human-AI Decision Making Human-AI Collaboration
Xianpi · McMaster University Hamilton, Ontario, Canada
SPEAR: Five Principles for Interactive Human-Agent Alignment
Oct 5, 2026Tao Long, Lydia B. ChiltonAI Alignment Human-AI Interaction
Columbia University New York City, New York, USA
From Token-Max to Outcome-Max: How You Use AI Determines Its Productivity
Oct 5, 2026Chen Xu, Mengqiao Liu, Beibei Li +1Cost-Aware Inference Human-AI Collaboration
Carnegie Mellon University · Amazon
Reflecting on Creative-Boundaries with an AI Co-Doodler
Oct 4, 2026Samia Menon, Samyukta Jayaram, Chetan Goenka +1Computational Creativity Human-AI Collaboration
UC Berkeley Berkeley, California, USA
Educating future engineers about LLMs: A scalable workshop
Oct 4, 2026R. Zhang, J. C. F. de Winter, T. Dicke +2Human-AI Collaboration Robotics Education
Faculty of Mechanical Engineering, Delft University of Technology, Delft, The Netherlands
A study on human-agent teaming through spoken interaction: the impact of human individual traits and agent characteristics
Oct 2, 2026Lara Gauder, Martin Bernardo Meza, Javier Krick +4Human-AI Collaboration Trust in AI
Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellón Cero+Infinito, Ciudad Universitaria, Buenos Aires, C1428EGA, Argentina · Instituto de Investigación en Ciencias de la Computación, UBA-CONICET, Pabellón Cero+Infinito, Ciudad Universitaria, Buenos Aires, C1428EGA, Argentina · Universidad Nacional de Córdoba, Pabellón Argentina, Av. Haya de la Torre s/n, Ciudad Universitaria, Córdoba, X5000HUA, Argentina +1
The Reported Engagement with AI Level (REAL) Rating: A Framework for Disclosing Human-AI Collaboration
Oct 2, 2026Imène Goumiri, Mayleen Cortez-Rodriguez, Eric Bell +1Human-AI Collaboration AI Accountability
Real Good AI
AI-assisted mitotic counting improves reproducibility and efficiency across multiple tumour types
Oct 1, 2026Simon Graham, Mostafa Jahanifar, Quoc Dang Vu +15Computational Pathology Human-AI Collaboration
Histofy Ltd, Coventry, United Kingdom · Vilnius University Faculty of Medicine and National Center of Pathology, Affiliate of Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania · Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom +5
How AI Agents Discover Scientific Equations: From Hydrotope Rediscovery to New Water-Wave Amplitudes
Sep 30, 2026Zihan Zhou, Digvijay Wadekar, Matias ZaldarriagaAI Agents for Scientific Discovery Scientific Discovery
Department of Physics, Princeton University, Princeton, NJ 08540, USA · Center for Gravitational Physics, University of Texas at Austin, Austin, TX 78712, USA · School of Natural Sciences, Institute for Advanced Study, 1 Einstein Drive, Princeton, NJ 08540, USA
Community-Driven API and AI Writer Design for Openly Scaling Community Notes
Sep 30, 2026Brad Miller, Jay Baxter, Jiansong Chao +3Human-in-the-Loop AI Automated Fact-Checking
Community Notes, SpaceXAI
Referential Uncertainty in Human--AI Collaboration
Sep 30, 2026Christian Poelitz, Finale Doshi-Velez, Siân LindleyLLM Uncertainty Estimation Human-AI Decision Making
Microsoft Research, Cambridge, UK · Harvard University, Cambridge, MA, USA
NarrativeSteward: Coordinating Delegation, Guidance, and Verification in Agent-Assisted Interactive Narrative Authoring
Sep 30, 2026Wenjin Wang, Jiazhen Lei, Yuxin Sha +6Interactive Storytelling LLM Agent Orchestration
Interactive Entertainment Group, Tencent Inc Shanghai, China
AIfred: Augmented Learning through Functional Robotic Embodiment at the Desk
Sep 30, 2026Gregorio Orlando, Milan Groshev, Eduardo Castelló FerrerGenerative AI in Education Assistive Robotics
CyPhy Life, Robotics & AI Lab, School of Science & Technology, IE University, Spain
Recursive Organization Improvement: A Modeling Specification for Human--Agent Organizations
Sep 29, 2026Zilong WangMulti-Agent Collaboration Human-AI Collaboration
CataX AI
DraftTrace: A Multi-View Analytics Environment for AI-Integrated Writing
Sep 29, 2026Divyansh Chandarana, Sandipan De, Vivek GuptaEducational Data Mining Generative AI in Education
Arizona State University
Human-AI Collaboration: From Paradoxes to Patterns
Sep 29, 2026Michael WeissHuman-AI Collaboration Human-AI Co-Creation
Carleton University, Ottawa, Canada
ThuRunel: Dynamic Decoupling for Structured Advisory Dialogue
Sep 28, 2026Yuyan ChenConversational Agents Human-AI Decision Making
ModelsLive Inc.
Alignment Games: A Framework for Conceptual Repair in Human-AI Collaboration
Sep 28, 2026Hari Subramonyam, Maneesh Agrawala, Sean FollmerHuman-AI Collaboration Human-AI Co-Creation
Stanford University USA
ParallelPilot: Supporting Coordination and Monitoring in Parallel AI Coding
Sep 27, 2026Tao Long, Weili Shi, Hussein Mozannar +2AI Agent Monitoring Human Oversight of AI
Microsoft Research AI Frontiers, Columbia University, USA · Microsoft Research AI Frontiers, USA

Oct 12, 2026J/K move · Enter open · S save

Better together? A performance theory of human-machine skill policies under generalization difficulty

Riccardo Zanardelli

Human-AI Decision Making Human-AI Collaboration

Open paper AskPDF arXiv

Organizations pairing a human and a machine on a task decide, often by default, which executes each instance and what happens when both do. We account for what this attains under the squared rule, with performance distributed over instances to capture generalization difficulty. A gross stake lies between the skills' mean and best per instance. It splits at the best single skill into a systematic part, known from separate assessments and secured by commitment, and a residual, the expected value of perfect information on which skill each instance favors, known only from paired observation and split further by classes. Skills set the stake; workflows decide the take, via two channels. Routing directs work, weighting or selecting responses; with binary truth it is capped by the best skill per instance. Reading responses as joint evidence is not routing; what they jointly reveal caps it. Synergy lets skills interact before responding; bounded by no skill either way, its lift over independent responses must clear a break-even and can fall below one. As algorithms, arrangements form a ladder stating what each reads, holds and records, and a procedure whose checks keep earlier gains when class means are known and lose little on finite records given a margin. The theory extends to many skills, each worth what it adds where it beats all others held, and to competing skills, where at parity a single failure's allowed cost decides. In a public chest-radiograph study with 227 radiologists, they are near parity with the model and the stake is mostly residual; assisted reading, no better on average originally, returned less than averaging both responses; recalibrating the model alone beats any deployable arrangement of raw responses. Organizations can learn from their records what is at stake, which arrangement collects it and what evidence each step needs; pricing costs and errors is future work.