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ResearchProposalPUBLICOpenAIRE Ukraine

Higher Education in the Age of AI – How Can We Preserve the Human Dimension of Teaching and Learning?

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.

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External project record

Imported from OpenAIRE Ukraine | Grant 101299940.

Open source

Overview

OpenAIRE Ukraine record

Grant agreement 101299940 | HUMAN-AI

Open source

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.

Research fields

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