Project description
Human-centred AI in higher education
Artificial intelligence (AI) is a complex mix of opportunities and challenges for teachers and students. For higher education, universities must now prioritise teaching students to use AI effectively and ethically, while making sure technological innovation does not replace the human dimension of teaching and learning. Supported by the Marie Skłodowska-Curie Actions programme, the HUMAN-AI project will define the skills needed for AI-ready graduates. It will explore how curriculum innovation can combine digital literacy with ethics and human values. The project also aims to assess institutional readiness for AI adoption. Ultimately, its goal is to support universities in preparing learners for an AI-enabled future.
Objective
Artificial Intelligence is reshaping education, science, and society. With AI tools now widely accessible and playing a significant role in scientific and societal change, higher education faces the urgent challenge of preparing individuals - especially graduates entering the labour market - and institutions for this transformation. Traditional models are no longer sufficient - AI-ready, innovative teaching strategies are essential. Yet universities must balance innovation with responsibility: integrating AI without compromising the human dimension of learning.
HUMAN-AI addresses this need by developing an ethical, human-centred model for AI use in higher education, both at institutional and individual levels. It proposes a soft skills framework tailored to academic contexts, aligns learning with labour market demands, supports curriculum innovation that combines digital literacy with ethics, human values, and responsible use, and assesses how higher education institutions respond to technological change while preserving the human element in teaching and learning. The project also promotes policies that prioritise well-being, autonomy, and inclusive innovation.
Through activities targeting key stakeholders - students and practitioners - HUMAN-AI will equip them to engage with AI safely and responsibly, without losing the relational aspects that define values-driven education. By organising public AI literacy events and conducting interactive school visits, the project will enhance understanding and promote the responsible use of AI tools across society.
Aligned with EU priorities, HUMAN-AI supports ethical AI, inclusive lifelong learning, and value-driven digital transformation, contributing to Europe’s leadership in responsible education.
The consortium brings together experts from social and technical disciplines across EU and non-EU countries, including Poland, Estonia, Portugal, the Netherlands, Slovakia, Ukraine, Türkiye, Thailand, Kazakhstan, and Brazil.
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.
- natural sciences computer and information sciences artificial intelligence
- social sciences economics and business business and management employment
You need to log in or register to use this function
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.
-
HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
See all projects funded under this programme
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-SE - HORIZON TMA MSCA Staff Exchanges
See all projects funded under this funding scheme
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-2025-SE-01
See all projects funded under this callCoordinator
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.
40-007 KATOWICE
Poland
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.