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Human-Centric Artificial Intelligence for Sustainable Future

Project description

Human-centric artificial intelligence training and solutions

The EU needs experts in the ethical, human-centric, and sustainable use of AI across public, private, and third-sector organisations. This expertise is not readily available through traditional doctoral training. With support from the Marie Skłodowska-Curie Actions programme, the HAIF project at the University of Turku in Finland will establish a doctoral training programme for 25 candidates, focusing on socially relevant research themes in technology, social sciences, law, and humanities. The programme will develop technological solutions to improve the safety, security, and interpretability of AI systems, with applications in healthcare, autonomous systems, and cybersecurity. It will also provide training in transferable skills, enhancing competitiveness and creating jobs at both regional and EU levels.

Objective

For the EU to strengthen its role as the global leader in trustworthy AI, experts on ethical, human-centric and sustainable use of AI are urgently needed in public, private and third sector organisations across member states. This interdisciplinary expertise is not readily available through traditional doctoral training frameworks. The fast-evolving field will continue to create opportunities for individuals with resilience and future-proof skills. Human-Centric Artificial Intelligence for Sustainable Future (HAIF) is a doctoral programme for 25 doctoral candidates (DCs) hosted by the University of Turku (UTU), Finland, and supported by 17 associated partners. HAIF will establish a novel doctoral training scheme that connects UTU’s Faculties of Technology, Social Sciences, Law and Humanities. HAIF’s research themes are societally relevant, emphasizing humans as developers, users and decision-subjects affected by the technology. In addition to individual and societal perspectives, HAIF produces technological solutions for improved safety, security, interpretability and technical robustness of AI systems. Research on application areas such as health care, autonomous systems and cybersecurity will be transferable to different sectors. HAIF’s academic collaboration network covers 7 EU countries and the U.S. 6 non-academic partners bring in business relevance and views of the public administration. Besides enhancing DCs’ academic skills and producing new interdisciplinary knowledge, HAIF will train DCs on transferable skills such as communications and project management, which are essential for widening their career prospects. HAIF DCs will be selected through a transparent, merit-based process with equity and inclusivity as cross-cutting priorities. By training the future professionals in the critical themes of human-centric and sustainable AI, HAIF increases competitiveness, jobs and growth from the regional to EU scale.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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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.

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.

HORIZON-TMA-MSCA-Cofund-D - HORIZON TMA MSCA Cofund Doctoral programme

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

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

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Coordinator

TURUN YLIOPISTO
Net EU contribution

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.

€ 3 360 000,00
Total cost

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.

No data

Partners (17)

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