In a significant move to enhance the representation of Quebec culture in artificial intelligence systems, Bibliothèque et Archives nationales du Québec (BAnQ) has embarked on the experimental phase of a new database aimed at enriching AI with local and Indigenous content. The initiative, which follows a comprehensive feasibility study earlier this year, seeks to address the challenges posed by the lack of relevant data on Quebec society, culture, and economy in existing AI training datasets.
A Step Towards Cultural Representation
BAnQ’s project is designed to improve the accuracy and reliability of AI systems when referencing Quebec’s unique cultural landscape. Valérie D’Amour, who spearheaded the feasibility study, commented, “All scenarios are a little bit on the table right now. We have a lot of ideas and we want to validate the possibilities with cultural stakeholders, as well as with data owners and providers, who will be involved in the discussions.” This collaborative approach aims to ensure that the voices of Quebec’s diverse communities are adequately represented in AI applications.
Marie Grégoire, BAnQ’s president and chief executive officer, emphasised the importance of incorporating local references, stating, “That means having Quebec references, whether in small models or large models, whether they come from research or from the business community.” The initiative is particularly timely, as generative AI systems have been critiqued for their inadequate representation of Quebec’s rich cultural and linguistic diversity.
Learning from Global Examples
The move by BAnQ is not without precedent. Similar initiatives in countries like Sweden have successfully created extensive databases of Nordic-language texts to support the development of generative AI models tailored to Scandinavian languages. BAnQ plans to initiate its database using its own collections before expanding to include data from external sources.
The need for this project was underscored by a 2024 report from Quebec’s innovation council, which highlighted the significant gap in relevant training data for AI systems. The report noted that the “very small quantity of data on Quebec” has hampered the ability of AI to engage accurately with local contexts.
Addressing Cultural Biases
Destiny Tchéhouali, co-holder of a research chair focused on French-language AI and digital technologies, pointed out that Quebec’s culture is underrepresented in global AI datasets. He warned of the potential for AI to perpetuate linguistic and cultural biases, particularly regarding Indigenous peoples. “We run the risk of reproducing linguistic biases and cultural biases,” he said, stressing the necessity of creating a database that serves as “strategic infrastructure” for identifying and cataloguing local content.
However, as BAnQ moves towards operationalising this database by 2029, concerns surrounding copyright and the economic implications for artists remain prevalent. Grégoire acknowledged this delicate balance, asserting that the new platform could enhance protections for creators compared to the current “Wild West” environment where data is often exploited without compensation.
Navigating Copyright Concerns
While the potential benefits of the database are clear, artists have expressed apprehension about contributing their work to AI training systems. Maxime Harvey, a postdoctoral researcher, articulated the prevailing fear that participating in such initiatives could undermine artists’ livelihoods. “Even if artists earn income from it, they are still feeding the beast that will eventually be used to replace contracts they may lose because of AI,” he remarked.
This tension highlights the need for a well-structured framework that ensures creators are fairly compensated and that their rights are protected as AI technologies continue to evolve.
Why it Matters
The development of this cultural database represents a pivotal moment for Quebec as it seeks to assert its identity within the rapidly advancing field of artificial intelligence. By prioritising local content, BAnQ aims to not only enhance the accuracy of AI outputs but also safeguard the cultural heritage of Quebec and its Indigenous peoples. This initiative could serve as a blueprint for similar projects globally, ensuring that diverse voices are recognised and valued in the digital age. As the conversation around AI and culture continues to unfold, the outcome of this ambitious project could redefine the landscape of cultural representation in technology.
