AIMC Topic: Cooperative Behavior
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A Semi-Automated Approach Based on Network Analysis to Suggest New Collaborations and Foster Multisite Clinical Trials.
Studies in health technology and informatics
May 15, 2025
Several research institutions nowadays collaboratively conduct many scientific projects. Within a national Italian initiative on robotic rehabilitation, this study aims to develop new collaborations that can support the project's missions. Bibliograp...
A Dataset for Understanding Radiologist-Artificial Intelligence Collaboration.
Scientific data
May 3, 2025
This dataset, Collab-CXR, provides a unique resource to study human-AI collaboration in chest X-ray interpretation. We present experimentally generated data from 227 professional radiologists who assessed 324 historical cases under varying informatio...
Evolutionary multi-agent reinforcement learning in group social dilemmas.
Chaos (Woodbury, N.Y.)
Feb 1, 2025
Reinforcement learning (RL) is a powerful machine learning technique that has been successfully applied to a wide variety of problems. However, it can be unpredictable and produce suboptimal results in complicated learning environments. This is espec...
Understanding dimensions of trust in AI through quantitative cognition: Implications for human-AI collaboration.
PloS one
Jan 1, 2025
Human-AI collaborative innovation relies on effective and clearly defined role allocation, yet empirical research in this area remains limited. To address this gap, we construct a cognitive taxonomy trust in AI framework to describe and explain its i...
Professional identity and its relationships with AI readiness and interprofessional collaboration.
PloS one
Jan 1, 2025
BACKGROUND: In contemporary healthcare practices, the convergence of Artificial Intelligence (AI) and interprofessional collaboration represents a transformative era marked by unprecedented opportunities and challenges. The introduction of AI technol...
Authentic assessment in medical education: exploring AI integration and student-as-partners collaboration.
Postgraduate medical journal
Nov 22, 2024
BACKGROUND: Traditional assessments often lack flexibility, personalized feedback, real-world applicability, and the ability to measure skills beyond rote memorization. These may not adequately accommodate diverse learning styles and preferences, nor...
AI learns to encourage group cooperation by making new connections.
Nature human behaviour
Oct 1, 2023
Stop the emerging AI cold war.
Nature
May 1, 2021
Cooperative AI: machines must learn to find common ground.
Nature
May 1, 2021
Would a robot trust you? Developmental robotics model of trust and theory of mind.
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Apr 29, 2019
Trust is a critical issue in human-robot interactions: as robotic systems gain complexity, it becomes crucial for them to be able to blend into our society by maximizing their acceptability and reliability. Various studies have examined how trust is ...
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