Maoinithe ag an Aontas Eorpach. Mar sin féin is tuairimí agus tuairimí an údair amháin nó na n-údar amháin iad na tuairimí agus na tuairimí a nochtar agus ní gá go léiríonn siad tuairimí an Aontais Eorpaigh nó na Gníomhaireachta Eorpaí Feidhmiúcháin Oideachais agus Cultúir (EACEA). Ní fhéadfar an tAontas Eorpach ná EACEA a chur i gcuntas astu. Uimhir an tionscadail: 2023-1-NL01-KA220-HED-000155675. average for 50% of the attempted questions using ChatGPT-4 compared to 43% with ChatGPT-3.5. Implications for practice Future research is recommended to focus on improving ChatGPT's reliability and accuracy while maintaining the academic integrity of students. Cás-Staidéar 23: Ról AI i Múnlú Thírdhreach Ardoideachais na hEorpa: Impleachtaí Beartais agus Treoirlínte le Fócas ar Éirinn 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 open-ended 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.
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