Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them. Project number: 2023-1-NL01-KA220-HED-000155675. Casus 23: De rol van AI in het vormgeven van het hoger onderwijslandschap van Europa: beleidsimplicaties en richtlijnen met een focus op Ierland General information Reference/Source: Irfan, M., Murray, L., & Ali, S. (2023). The Role of AI in Shaping Europe's Higher Education Landscape: Policy Implications and Guidelines with a Focus on Ireland. Research Journal of Social Sciences and Economics Review, 4(2), 231-243. https://ojs.rjsser.org.pk/index.php/rjsser/article/view/646 University/HE institution: University of Limerick Course and subject domain: History, Music and Dance, Law, Politics and Public Administration, Modern Languages and Applied Linguistics, English Literature, Journalism, Mass Communication and Technical Communication, Sociology, and Administrative Staff. Aim: To investigate the policy considerations for integrating Artificial Intelligence (AI) across various academic departments at the University of Limerick. Target group: Academic and administrative staff across diverse departments at the University of Limerick Description of case AI tool used: N/A - This study applied to real students via questionnaires A detailed description of what happened: Participants were provided with an openended questionnaire that asked for their views on AI integration and solicited recommendations on key policy considerations for dealing with the ethical and social implications of AI usage. Lessons learned The findings suggest a collective need for comprehensive AI ethics frameworks, transparent and accountable AI algorithms, robust data protection measures, and rigorous interdisciplinary dialogue to chart out the unique implications of AI for different subject domains in HE. Implications for practice Future research which examines the complexity and diversity of AI adoption and implementation within and across different institutions of higher learning is needed. The aim should be to foster a culture of interdisciplinary inquiry into the specific applications of AI in the context of diverse academic domains.
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