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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology industrial relations automation
- social sciences psychology
- social sciences economics and business business and management employment
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-GF - HORIZON TMA MSCA Postdoctoral Fellowships - Global Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2023-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
LT-01103 VILNIUS
Lithuania
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.