Τεχνητή Νοημοσύνη και Επικοινωνία στα Μουσεία: Προοπτικές και προκλήσεις


Δημοσιευμένα: Φεβ 24, 2026
Λέξεις-κλειδιά:
Artificial Intelligence Museums Personalization Ethical Governance Cultural Heritage
Δημήτριος Κιτσώνης
Παρασκευή Δεκούλου
Περίληψη

Within the framework of the Fifth Industrial Revolution, artificial intelligence is redefining the communicative role of museums, transforming them from static exhibition spaces into dynamic platforms of human-centered interactivity. This study conducts a systematic field review for the period 2021–2025, drawing on peer-reviewed literature sourced from the Scopus, Web of Science, and Google Scholar databases. The findings indicate that technologies such as recommendation systems, natural language chatbots, and computer vision enhance coherent narrative structures, multisensory and multilingual accessibility, as well as participatory real-time interaction. At the same time, critical challenges emerge, including the risk of narrative fragmentation, issues of data governance and GDPR compliance, algorithmic opacity, systemic biases, and organizational resistance. The proposed strategic framework is based on five fundamental pillars: coherent mission messaging, stakeholder inclusion, algorithmic transparency, responsible data management, and continuous evaluation of system life cycles. The study aims to balance technological innovation with democratic cultural mediation, within a framework of transparency and social accountability.

Λεπτομέρειες άρθρου
  • Ενότητα
  • 4ο Ελληνόφωνο Επιστημονικό Συνέδριο Εργαστηρίων Επικοινωνίας
Αναφορές
Abonamah, A. A., & Abdelhamid, N. (2024). Managerial insights for AI/ML implementation: A playbook for successful organizational integration. Discover Artificial Intelligence, 4(1), Article 100005. https://doi.org/10.1007/s44163-023-00100-5
Arksey, H., & O’Malley, L. (2005). Scoping studies: Towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19–32. https://doi.org/10.1080/1364557032000119616
Boztas, S. (2024, November 29). Rijksmuseum launches AI tool to help make connections in 800,000-strong collection. The Art Newspaper. Rijksmuseum launches AI tool to help make connections in 800,000-strong collection - undefined
Chen, M. A., & Wang, X. (2025). Displacement or augmentation? The effects of AI innovation on workforce dynamics and firm value. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5246388
Cremer, D. D., Bianzino, N. M., & Falk, B. (2023, April 13). How generative AI could disrupt creative work. Harvard Business Review. https://hbr.org/2023/04/how-generative-ai-could-disrupt-creative-work
European Parliament & Council. (2016). Regulation (EU) 2016/679 (General Data Protection Regulation). Official Journal of the European Union. https://eur-lex.europa.eu/eli/reg/2016/679/oj
Hong, Q. N., Pluye, P., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M., … Vedel, I. (2018). Mixed Methods Appraisal Tool (MMAT) version 2018. McGill University. Microsoft Word - MMAT_2018_criteria-manual_2018-08-08.docx
Idrisi, M. J., Geteye, D., & Shanmugasundaram, P. (2024). Modeling the complex interplay: Dynamics of job displacement and evolution of artificial intelligence in a socio-economic landscape. International Journal of Networked and Distributed Computing, 12(2), 185–194. https://doi.org/10.1007/s44227-024-00025-0
Ivanov, R. (2023). ExhibitXplorer: Enabling personalized content delivery in museums using contextual geofencing and artificial intelligence. ISPRS International Journal of Geo-Information, 12(10), 434. https://doi.org/10.3390/ijgi12100434
Kiourexidou, M., & Stamou, A. (2025). Interactive heritage: The role of artificial intelligence in digital museums. Electronics, 14(9), 1884. https://doi.org/10.3390/electronics14091884
Levac, D., Colquhoun, H., & O’Brien, K. K. (2010). Scoping studies: Advancing the methodology. Implementation Science, 5, Article 69. https://doi.org/10.1186/1748-5908-5-69
Mazzanti, P., Ferracani, A., Bertini, M., & Principi, F. (2025). Reshaping museum experiences with AI: The ReInHerit toolkit. Heritage, 8(7), 277. https://doi.org/10.3390/heritage8070277
Moore, M. H. (1995). Creating public value: Strategic management in government. Harvard University Press.
Palmer, R. (2023, November 14). AI-assisted collections exploration. V&A Blog. https://www.vam.ac.uk/blog/digital/ai-assisted-collections-exploration
Peters, M. D. J., Godfrey, C. M., McInerney, P., Munn, Z., Tricco, A. C., & Khalil, H. (2020). Chapter 11: Scoping reviews. In E. Aromataris & Z. Munn (Eds.), JBI Manual for Evidence Synthesis (pp. 406–451). JBI.
Pietroni, E. (2025). Multisensory museums, hybrid realities, narration, and technological innovation: A discussion around new perspectives in experience design and sense of authenticity. Heritage, 8(4), 130. https://doi.org/10.3390/heritage8040130
Pisoni, G., Díaz-Rodríguez, N., Gijlers, H., & Tonolli, L. (2021). Human-centered artificial intelligence for designing accessible cultural heritage. Applied Sciences, 11(2), Article 870. https://doi.org/10.3390/app11020870
Radanliev, P., Santos, O., Brandon-Jones, A., & Joinson, A. (2024). Ethics and responsible AI deployment. Frontiers in Artificial Intelligence, 7, 1377011. https://doi.org/10.3389/frai.2024.1377011
Resnik, D. B., & Hosseini, M. (2024). The ethics of using artificial intelligence in scientific research: New guidance needed for a new tool. AI and Ethics. Advance online publication. https://doi.org/10.1007/s43681-024-00493-8
Ryding, K., Spence, J., Løvlie, A. S., & Benford, S. (2021). Interpersonalizing intimate museum experiences. International Journal of Human–Computer Interaction, 37(12), 1151–1172. https://doi.org/10.1080/10447318.2020.1870829
UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence. United Nations Educational, Scientific and Cultural Organization. Recommendation on the Ethics of Artificial Intelligence | UNESCO
Westerman, G., Bonnet, D., & McAfee, A. (2014). Leading Digital: Turning Technology into Business Transformation. Harvard Business Review Press.
Zhang, Z., Lu, J., & Zhang, X. (2024). Emotionally-oriented design in museums: A case study of the Jewish Museum Berlin. Frontiers in Psychology, 15, 1423466. https://doi.org/10.3389/fpsyg.2024.1423466