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Human AI Collaboration for Trust Management

Proceedings of the AAAI Symposium Series
Trust is one of the principles that human-AI teams must attain for the fulfillment of their mission. Ex-plainable AI and the principle of computational re-liabilism provide AI-intrinsic solutions for trust management. When human-AI collaboration breaks down, human-AI teams turn to common sense and intuition to recover trust.
openaire   +1 more source

Collision-free human-robot collaboration based on context awareness

Robotics and Computer-Integrated Manufacturing, 2021
Lihui Wang, Hongyi Liu
exaly  

Human-AI Collaborative Intelligence

The present globe benefits from the unprecedented growth of science and technology. The invention of Artificial Intelligence (AI) has opened a vast horizon of possibilities, choices, and capabilities for humans and society. AI-powered human-like systems provide substantial interaction and collaboration for better results in many fields.
Jipson Joseph, Ananya Pandey
openaire   +1 more source

An electromyography signals-based human-robot collaboration method for human skill learning and imitation

Journal of Manufacturing Systems, 2022
Yanbiao Zou, Tie Zhang, Hubo Chu
exaly  

Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving

Transportation Research Part C: Emerging Technologies, 2021
Chen Lv, Dongpu Cao, Yang Xing
exaly  

Ethics in Human-AI Collaboration

Recently, there has been growing attention to the ecology of thinking and action in which meaning and agency are co-constructed through the interplay of human and machine capabilities. This shift from using AI merely as a tool to engaging in active collaboration with it has profound implications for youth education.
Lara Vandini, Chunfang Zhou
openaire   +2 more sources

Human–robot collaboration and machine learning: A systematic review of recent research

Robotics and Computer-Integrated Manufacturing, 2023
Angelo Cangelosi, Francesco Semeraro
exaly  

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