Archival ethics in the age of ubiquitous computing, big data, and artificial intelligence
Main Article Content
Abstract
The ethical dilemmas currently facing archival science are examined within the context of digital transformation, at a time when computing, big data, and artificial intelligence (AI) are established realities impacting the profession. The point of departure for this analysis is the ethical framework established by the International Council on Archives (ICA) in 1996, which is now subject to reassessment in light of this technological landscape. The discussion is structured around three main themes: first, the omnipresence of ubiquitous computing and its implications for the creation of records and data; second, the moral tensions arising from the processing of large volumes of information; and third, the ethical dilemmas generated by the delegation of archival tasks to automated systems through AI. In response, it is argued that archival science must develop a stronger ethical horizon that addresses issues such as algorithmic transparency, business ethics, and environmental sustainability, and, in particular, human oversight in the configuration of the decisive principles that influence the integrity of documentary heritage within such automated systems.
Downloads
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
References
Allen, A. (2004). The new ethics: A guided tour of the twenty-first century moral landscape. Miramax Books.
Bahangulu, J. K. & Owusu-Berko, L. (2025). Algorithmic bias, data ethics, and governance: Ensuring fairness, transparency and compliance in AI-powered business analytics applications. World journal of advanced research and reviews, 25(2), 1746-1763. https://doi.org/10.30574/wjarr.2025.25.2.0571 DOI: https://doi.org/10.30574/wjarr.2025.25.2.0571
Colavizza, G., Blanke, T., Jeurgens, C. & Noordegraaf, J. (2021). Archives and AI: an overview of current debates and future perspectives. Journal on computing and cultural heritage, 15(1), 1-15. https://doi.org/10.1145/3479010 DOI: https://doi.org/10.1145/3479010
Consejo Internacional de Archivos - CIA (1996). Código de ética profesional. https://www.ica.org/app/uploads/2024/01/ICA_1996-09-06_code-of-ethics_ES.pdf
Cox, R. J. (2008). Archival ethics: the truth of the matter. Journal of the American Society for Information Science and Technology, 59(7), 1128-1133. https://doi.org/10.1002/asi.20852 DOI: https://doi.org/10.1002/asi.20852
Desai, M. A., Pasquetto, I. V., Jacobs, A. Z. & Card, D. (2024). An archival perspective on pretraining data. Patterns, 5(4), 100966. https://doi.org/10.1016/j.patter.2024.100966 DOI: https://doi.org/10.1016/j.patter.2024.100966
Hamer, A. (2018). Ethics of archival practice: new considerations in the digital age. Archivaria, 85, 156-179. http://archivaria.ca/index.php/archivaria/article/view/13634
Martijn, V. O. (2018). Gatekeeping algorithms with human ethical bias: the ethics of algorithms in archives, libraries and society. arXiv. https://doi.org/10.48550/arxiv.1801.01705
Seberger, J. S. (2021). Into the archive of ubiquitous computing: the data perfect tense and the historicization of the present. Journal of documentation, 78(1), 18-37. https://doi.org/10.1108/jd-11-2020-0195 DOI: https://doi.org/10.1108/JD-11-2020-0195
Shinde, G., Kirstein, T., Ghosh, S. & Franks, P. C. (2024). AI in archival science: a systematic review. arXiv. https://doi.org/10.48550/arxiv.2410.09086
Venkata, S. K., Young, P., Bell, M. & Green, A. (2021). Alexa, is this a historical record? Journal on computing and cultural heritage, 15(1), 1–20. https://doi.org/10.1145/3479008 DOI: https://doi.org/10.1145/3479008
Weiser, M. D. (s. f.). Mark D. Weiser. University of Liverpool. https://cgi.csc.liv.ac.uk/~coopes/comp319/2016/papers/Mark%20D_%20Weiser.htm
Weiser, M. D. (1991). The computer for the 21st century. Scientific American, 265(3), 94-104. DOI: https://doi.org/10.1038/scientificamerican0991-94