In a significant move to enhance the representation of Quebec’s rich cultural tapestry in artificial intelligence systems, the Bibliothèque et Archives nationales du Québec (BAnQ) has announced the initiation of an experimental phase for a new database. This project aims to curate government and cultural content, particularly in French and Indigenous languages, to improve AI’s understanding of Quebec society. Following a feasibility study completed earlier this year, BAnQ is addressing concerns that existing AI models lack reliable data related to Quebec, thereby misrepresenting its unique cultural and social landscape.
Addressing Data Gaps
Valérie D’Amour, who spearheaded the feasibility study, highlighted the urgency of this initiative, stating, “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.” The project seeks to ensure that the cultural nuances of Quebec are accurately reflected in AI systems, which have often been critiqued for their limited understanding of local contexts.
BAnQ’s proposed platform will not function as a public distribution channel for creative works; instead, it will maintain strict control over data access. This careful approach aims to ensure that the information remains reliable and representative of the diverse cultures within Quebec. Marie Grégoire, BAnQ’s president and CEO, emphasised the importance of including Quebec-specific references in AI training datasets, whether they stem from academic research or the business sector.
A Strategic Necessity
The impetus for this project stems from a recommendation by Quebec’s innovation council, which noted the scarcity of Quebec-related data in AI training datasets. Destiny Tchéhouali, a co-holder of a research chair focused on French-language artificial intelligence at Université du Québec à Montréal, pointed out that Quebec’s cultural representation is currently insufficient within the broader AI landscape. “We run the risk of reproducing linguistic biases and cultural biases. And when we also talk about Indigenous peoples, we run an even greater risk of all these biases,” he cautioned.
Tchéhouali further suggested that the proposed database could serve as vital infrastructure for identifying and cataloguing local content, facilitating its integration into contemporary AI systems. This initiative is not just about data collection; it’s about crafting a framework that respects and acknowledges the cultural wealth of Quebec.
Protecting Creators’ Rights
As BAnQ moves forward, concerns regarding copyright and creator compensation have surfaced within the cultural sector. Grégoire contended that the new platform could provide enhanced protections for creators compared to the current landscape, which she described as “a bit like the Wild West.” She explained, “Data is being harvested for free, and that should not be the case. The database could act as a centralized gateway that would make it easier to compensate creators whose works are used.”
While many cultural organisations are optimistic about the potential for better compensation, some artists remain apprehensive. Maxime Harvey, a postdoctoral researcher at the National Institute of Scientific Research, articulated a prevalent concern: “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.” This duality of opportunity and risk encapsulates the complex landscape artists must navigate as AI continues to evolve.
Looking Ahead
BAnQ envisions the platform going live by 2029, although the timeline may be adjusted following the experimental phase. The proposed five-year budget for the initiative is estimated at approximately $10.5 million, covering both operational and capital costs. Funding has already begun, with the Quebec government allocating $340,000 for the feasibility study and an additional $750,000 for the initial experimental phase.
The cultural landscape in Quebec is poised for a transformation as BAnQ takes meaningful steps toward creating a more inclusive and representative database for AI training.
Why it Matters
This initiative is crucial not only for preserving Quebec’s unique cultural identity but also for ensuring that AI systems reflect the diversity and richness of its society. By addressing the data gaps that currently hinder accurate representation, BAnQ is setting the stage for a future where technology and culture coexist harmoniously. This project could serve as a model for other regions seeking to enhance their cultural visibility in the digital age while simultaneously advocating for the rights and compensation of creators.
