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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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Obstacles to Human-AI Collaboration

Though human-AI collaboration (HAIC) is increasing, significant challenges persist in its effective adoption. Based on a systematic literature review, we propose a framework encompassing 15 obstacles to the adoption of HAIC in organizations, organized into three components of competence learning: knowledge, skills, and attitudes.
Sudeeptha, I   +4 more
openaire   +3 more sources

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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Personalized Complementarity in Human-AI Collaboration

Uncertainty and the potential for complementarity between humans and AI have shaped a new kind of interaction, typically referred to as a collaborative relationship. In this paper, we pick up on the discussion of common issues in human-AI collaboration based on a literature review and further discuss ways to and challenges of personalized ...
Karin Breckner   +3 more
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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 Collaborative Bayesian Optimisation

Advances in Neural Information Processing Systems 35, 2022
Arun Kumar A. V.   +3 more
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The Human-AI Collaboration Imperative

Artificial intelligence (AI) is completely transforming the world of labor and is no longer not only about the fear of mass technological unemployment but also about its absolute inevitability. Probably, a slightly more subtle point of view highlights Human-AI Collaboration (HAC) as another distinctive feature of the contemporary work environment, the ...
Siriyama Kanthi Herath, Jae Koo Yoo
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