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Human-AI Collaboration

2021
Continuous increase in computing power and more available data contribute to AI maturing, enabling an efficient and powerful human-AI collaboration. As a result, the nature of work will change, and more and more AI will be involved in joint work. In this study, the authors introduce the so-called Virtual Collaborator (VC), an equal partner in digital ...
Dominik Siemon, Timo Strohmann
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Human–AI Collaboration

2019
The ability to collaboratively reason within an autonomous information processing system denotes a need and an ability to infer about information, knowledge, observations, and experiences to affect changes within the system which support performing new tasks previously unknown, or performing tasks already learned, more efficiently and effectively ...
James A. Crowder   +2 more
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Human-AI Collaboration in Recruitment and Selection

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
My research focuses on using algorithmic systems alongside human collaborators to outperform either humans or machines individually. I specialize in human-machine collaboration in recruiting and selecting talented groups of people.
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Towards Fluid Human-AI Collaboration

Proceedings of the AAAI Symposium Series
In this presentation, we explore the concept of fluid collaboration (FC) which describes highly flexible, real-time teamwork that relies on dynamic task and role allocation, as commonly observed in everyday human collaboration. We argue that AI agents need to leverage both online Theory-of-Mind inference and natural language capabilities to support the
Heinrich, Fabian   +2 more
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Reimagining Human-AI Social Collaboration

Proceedings of the AAAI Symposium Series
AI increasingly mediates human social life—from daily communication and romantic partnerships to even "resurrecting" deceased loved ones. As AI’s influence on shaping human relationships and generative AI’s (GenAI) social capabilities grows, opportunities and challenges arise.
Lingqing Wang, Ashok K. Goel 0001
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Exploring the Future of Human-AI Collaboration: Insights from "Human-AI Interaction and Collaboration"

SSRN Electronic Journal
How should people and AI work together in ways that are useful, ethical, and trustworthy? Edited by Dan Wu and Shaobo Liang (Wuhan University), “Human–AI Interaction and Collaboration” maps the fast-moving terrain where users, systems, and information meet—treating human strengths and machine strengths as complements, not substitutes.
Dan Wu, Shaobo Liang
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Human-AI Collaboration in Entrepreneurship

Introducing Artificial Intelligence (AI) within the entrepreneurship industry is changing the decision-making, problem-solving, and creating innovations processes. This chapter addresses the changing environment of Human-AI collaboration, and how the use of intelligent systems can contribute to cognitive resilience and allow more intelligent and data ...
Kamini Pareek   +2 more
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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.
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Human-AI Collaborative Bayesian Optimisation

Advances in Neural Information Processing Systems 35, 2022
Arun Kumar A. V.   +3 more
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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
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