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Leading in the brave new world: human - robot dynamics

Project description

Managing human-AI teams to lead the future

As AI and automation become integral to various industries, the management of human-AI teams is increasingly vital. However, leaders often lack training in effectively guiding these hybrid teams, resulting in skills gaps and adaptability issues. Supported by the Marie Skłodowska-Curie Actions (MSCA) programme, the HURO project aims to unlock the potential of human-AI collaboration. By identifying essential leadership qualities, optimising virtual team designs, leveraging advanced AI for trait assessment, and examining feedback acceptance from human versus AI sources, HURO integrates leadership, organisational psychology, and IT. Using cutting-edge deep neural networks, this project seeks to reshape the future of work, enhancing leadership and team dynamics in our digital era.

Objective

Leading diverse human-robot or human-AI teams is slowly becoming the new normal. As automation and AI become integral to many industries, leaders must learn how to manage teams that include humans and AI/robots. Although there is plenty of training on how to use the technology, however, no one is teaching leaders how to lead the technology, thus creating skills gaps and workforce adaptability issues. As organisations face digital disruption, leaders must integrate these digital innovations into their operations and inspire their teams to become ‘technologically savvy’. However, despite the pressing need to better understand how to cultivate cohesive team dynamics amidst human and AI entities, research in this field is limited, which is problematic as leaders lack evidence-based solutions to deal with these novel challenges. Therefore, this project aims to unlock the potential of human-AI collaboration by: 1) uncovering the essential leadership qualities needed to effectively lead human-AI teams; 2) optimizing the design of virtual teams, where humans and AI work symbiotically; 3) pioneering the use of the newest AI for accurately assessing individual traits through natural language analysis; 4) investigating how feedback acceptance varies when it comes from human or AI sources. This research integrates the scientific fields of leadership, organisational psychology and IT, which pushes the boundaries of traditional research domains. Moreover, it is built on the newest technological trends and employs cutting-edge deep neural network technologies offering a state-of-the-art exploration of the subject. All in all, by achieving these objectives, this project will reshape the future of work, empowering organizations to harness the full potential of human/AI teams, enhance leadership capabilities, and optimize team dynamics in this ‘brave new world’ of workplace digitalisation.

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Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-GF - HORIZON TMA MSCA Postdoctoral Fellowships - Global Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2023-PF-01

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Coordinator

ISM VADYBOS IR EKONOMIKOS UNIVERSITETAS UAB
Net EU contribution
€ 186 431,44
Address
GEDIMINO PR 7
LT-01103 VILNIUS
Lithuania
Region
Lietuva Sostinės regionas Vilniaus apskritis
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data

Partners (1)