The integration of AI into everyday life, across work and leisure, constitutes a significant driver of social innovation, reshaping interaction, communication, learning processes, and knowledge organisation, as well as the management of work and organisational activities. Increasingly oriented towards users’ needs, AI systems are learned and instructed to support not only cognitive but also emotional demands. In higher education, AI represents a transformative force, enhancing institutional efficiency across research, teaching, and third-mission activities. However, its adoption raises critical ethical concerns and highlights the importance of digital literacy in fostering soft competences. These are essential to promote awareness, self-regulation, and a critical, responsible use of AI technologies. Key questions remain regarding the extent of AI integration within universities, its ethical regulation, and its role in supporting academic and administrative practices. This article offers an initial overview through the analysis of 30 global case studies conducted within a European Commission-funded project. Building on Escudero’s theoretical framework of Imperfect AI, the analysis of the research findings highlights the discrepancies between the macro-social perspective on the ethical integration of AI within institutions and the meso- and micro-social perspectives on its effective integration into the everyday practices of institutional actors.

Innovation, Ethics and the Responsible Use of AI in Higher Education. Evidence from an Exploratory Study of 30 Universities Worldwide / Cortoni, I.. - In: SOCIAL SCIENCES. - ISSN 2076-0760. - 15:9(2026), pp. 1-30. [10.3390/socsci15090602]

Innovation, Ethics and the Responsible Use of AI in Higher Education. Evidence from an Exploratory Study of 30 Universities Worldwide

Ida Cortoni
2026

Abstract

The integration of AI into everyday life, across work and leisure, constitutes a significant driver of social innovation, reshaping interaction, communication, learning processes, and knowledge organisation, as well as the management of work and organisational activities. Increasingly oriented towards users’ needs, AI systems are learned and instructed to support not only cognitive but also emotional demands. In higher education, AI represents a transformative force, enhancing institutional efficiency across research, teaching, and third-mission activities. However, its adoption raises critical ethical concerns and highlights the importance of digital literacy in fostering soft competences. These are essential to promote awareness, self-regulation, and a critical, responsible use of AI technologies. Key questions remain regarding the extent of AI integration within universities, its ethical regulation, and its role in supporting academic and administrative practices. This article offers an initial overview through the analysis of 30 global case studies conducted within a European Commission-funded project. Building on Escudero’s theoretical framework of Imperfect AI, the analysis of the research findings highlights the discrepancies between the macro-social perspective on the ethical integration of AI within institutions and the meso- and micro-social perspectives on its effective integration into the everyday practices of institutional actors.
2026
AI and social innovation; sociology of digital transformation; ethical governance of AI; university systems; knowledge production
01 Pubblicazione su rivista::01a Articolo in rivista
Innovation, Ethics and the Responsible Use of AI in Higher Education. Evidence from an Exploratory Study of 30 Universities Worldwide / Cortoni, I.. - In: SOCIAL SCIENCES. - ISSN 2076-0760. - 15:9(2026), pp. 1-30. [10.3390/socsci15090602]
File allegati a questo prodotto
File Dimensione Formato  
Cortoni_Innovation_2026.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 4.49 MB
Formato Adobe PDF
4.49 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1774531
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact