What Got Us Here, Won’t Get Us There 15th International Conference of the European Academy of Design ONLINE and in PERSON in Brazil, Finland, India, Spain and the UK. 16-20 October 2023 Copyright © 2023. The copyright of each paper in this conference proceedings is the property of the author(s). Permission is granted to reproduce copies of these works for purposes relevant to the above conference, provided that the author(s), source and copyright notice are included on each copy. For other uses please contact the author(s). The archive of the future: Challenges and possibilities for digital collections Renata Perim a* , Giselle Beiguelman b a Faculdade de Arquitetura e Urbanismo da Universidade de São Paulo b Faculdade de Arquitetura e Urbanismo da Universidade de São Paulo *Corresponding author e-mail: renataperim@usp.br Abstract: Cultural contents from museums, galleries and other memory institutions acquire new characteristics when organized to be preserved in a digital context. This content begins to form part of a dynamic and networked space through its links that connect to other information and people. It is proposed in this article to outline the ways in which some objects of cultural heritage have been made available on the web in order to indicate new possible dynamics from the use of Artificial Intelligence (AI). Through exploratory research with a case study of AI in a museum, it was possible to envision ways to build a new digital repository that is formed from the analysis between theory and practice. The possibilities that AI offers, as well as its limitations, will be pointed out to propose alternative ways to create a digital repository as an ecosystem of dynamic information. Keywords: Artificial Intelligence, Museum Collections, Archives, Network 1. Introduction The model of cataloguing artistic objects and cultural heritage must be understood from a different logic when we think of the space of the website. This space deals with networked objects that can be connected to other information, making room for collaboration, updating, and adaptation. This dynamic opens a field of possibilities for the management of digital collections, however it also presents difficulties for repositories that do not have functionalities capable of aggregating this dynamic information. We propose in this paper to outline the paths that Artificial Intelligence (AI) can offer for the field of digital archives and collection management on the web, also observing the challenges presented in the implementation of this system. This research, of an initial nature, is part of a Fapesp Project called Digital Collection and Reasearch that has Profª Drª Giselle Beiguelman as responsible researcher; Profª Drª Ana Gonçalves Magalhães, Profª Drª Priscila Almeida Cunha Arantes, Prof. Dr. Dalton Lopes Martins and Prof. Dr. Eduardo Augusto Costa, as principal researchers; and Paula Monseff Perissinotto as Associate Researcher. Within the scope of this project, we seek to understand how the resources of AI can contribute to the elaboration of methods of classification