Businesses: Four tips to avoid dependency or vulnerability in your use of AI
While the world is focused on how the tariff war is affecting various products, it may be overlooking the risks the war is posing to information technology. Yet, many businesses rely on artificial intelligence to provide their services, and many of these technologies are powered by large language models, such as the widely-used ChatGPT. It is relevant to ask whether businesses should rely on purely US-based technology service providers. There is talk of using Chinese alternatives, such as DeepSeek, but their use raises questions about data security and the associated control over information. Back in 2023, Professor Teresa Scassa wrote that, when it comes to artificial intelligence, sovereignty can take on many forms, such as state sovereignty, community sovereignty over data and individual sovereignty.1 Others have even suggested that AI will force the recalibration of international interests.2 In our current context, how can businesses protect themselves from the volatility caused by the actions of foreign governments? We believe that it’s precisely by exercising a certain degree of sovereignty over their own affairs that businesses can guard against such volatility. A few tips: Understand Intellectual property issues: Large language models underlying the majority of artificial intelligence technologies are sometimes offered under open-source licenses, but certain technologies are distributed under restrictive commercial licenses. It is important to understand the limits imposed by the licenses under which these technologies are offered. Some language model owners reserve the right to alter or restrict the technology’s functionality without notice. Conversely, permissive open-source licenses allow a language model to be used without time restrictions. From a strategic standpoint, businesses should keep intellectual property rights over their data compilations that can be integrated into artificial intelligence solutions. Consider other options: Whenever technology is used to process personal information, a privacy impact assessment is required by law before such technology is acquired, developed or redesigned.[3] Even if a privacy impact assessment is not legally required, it is prudent to assess the risks associated with technological choices. If you are dealing with a technology that your service provider integrates, check whether there are alternatives. Would you be able to quickly migrate to one of these if you faced issues? If you are dealing with custom solution, check whether it is limited to a single large language model. Adopt a modular approach: When a business chooses an external service provider to provide a large language model, it is often because the provider offers a solution that is integrated to other applications that the business already uses, or because it provides an application programming interface developed specifically for the business. In making such a choice, you should determine whether the service provider can replace the language model or application if problems were to arise. If the technology in question is a fully integrated solution from a service provider, find out whether the provider offers sufficient guarantees that it could replace a language model if it were no longer available. If it is a custom solution, find out whether the service provider can, right from the design stage, provide for the possibility of replacing one language model with another. Make a proportionate choice: Not all applications require the most powerful language models. If your technological objective is middle-of-the-road, you can consider more possibilities, including solutions hosted on local servers that use open-source language models. As a bonus, if you choose a language model proportionate to your needs, you are helping to reduce the environmental footprint of these technologies in terms of energy consumption. These tips each require different steps to be put into practice. Remember to take legal considerations, in addition to technological constraints, into account. Licenses, intellectual property, privacy impact assessments and limited liability clauses imposed by certain service providers are all aspects that need to be considered before making any changes. This isn’t just about being prudent—it’s about taking advantage of the opportunity our businesses have to show they are technologically innovative and exercise greater control over their futures. Scassa, T. 2023. “Sovereignty and the governance of artificial intelligence.” 71 UCLA L. Rev. Disc. 214. Xu, W., Wang, S., & Zuo, X. 2025. “Whose victory? A perspective on shifts in US-China cross-border data flow rules in the AI era.” The Pacific Review, 1–27. See in particular the Act respecting the protection of personal information in the private sector, CQLR c. P-39.1, s. 3.3.