The Direct Recourse of a Subrogated Insurer

September 1, 2005

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Anne Bélanger
Partner, Lawyer

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November 27, 2023

The forgotten aspects of AI: reflections on the laws governing information technology

While lawmakers in Canada1 and elsewhere2 are endeavouring to regulate the development and use of technologies based on artificial intelligence (AI), it is important to bear in mind that these technologies are also classified within the broader family of information technology (IT). In 2001, Quebec adopted a legal framework aimed at regulating IT. All too often forgotten, this legislation applies directly to the use of certain AI-based technologies. The very broad notion of “technology-based documents” The technology-based documents referred to in this legislation include any type of information that is “delimited, structured and intelligible”.3 The Act lists a few examples of technology-based documents contemplated by applicable laws, including online forms, reports, photos and diagrams—even electrocardiograms! It is therefore understandable that this notion easily applies to user interface forms used on various technological platforms.4 Moreover, technology-based documents are not limited to personal information. They may also pertain to company or organization-related information stored on technological platforms. For instance, Quebec’s Superior Court recently cited the Act in recognizing the probative value of medical imaging practice guidelines and technical standards accessible on a website.5 A less recent decision also recognized that the contents of electronic agendas were admissible as evidence.6 Due to their bulky algorithms, various AI technologies are available as software as a service (SaaS) or as platform as a service (PaaS). In most cases, the information entered by user companies is transmitted on supplier-controlled servers, where it is processed by AI algorithms. This is often the case for advanced client relationship management (CRM) systems and electronic file analysis. It is also the case for a whole host of applications involving voice recognition, document translation and decision-making assistance for users’ employees. In the context of AI, technology-based documents in all likelihood encompass all documents that are transmitted, hosted and processed on remote servers. Reciprocal obligations The Act sets out specific obligations when information is placed in the custody of service providers, in particular IT platform providers. Section 26 of the Act reads as follows: 26. Anyone who places a technology-based document in the custody of a service provider is required to inform the service provider beforehand as to the privacy protection required by the document according to the confidentiality of the information it contains, and as to the persons who are authorized to access the document. During the period the document is in the custody of the service provider, the service provider is required to see to it that the agreed technological means are in place to ensure its security and maintain its integrity and, if applicable, protect its confidentiality and prevent accessing by unauthorized persons. Similarly, the service provider must ensure compliance with any other obligation provided for by law as regards the retention of the document. (Our emphasis) This section of the Act, therefore, requires the company wishing to use a technological platform and the supplier of the platform to enter into a dialogue. On the one hand, the company using the technological platform must inform the supplier of the required privacy protection for the information stored on the platform. On the other hand, the supplier is required to put in place “technological means” with a view to ensuring security, integrity and confidentiality, in line with the required privacy protection requested by the user. The Act does not specify what technological means must be put in place. However, they must be reasonable, in line with the sensitivity of the technology-based documents involved, as seen from the perspective of someone with expertise in the field. Would a supplier offering a technological platform with outmoded modules or known security flaws be in compliance with its obligations under the Act? This question must be addressed by considering the information transmitted by the user of the platform concerning the required privacy protection for technology-based documents. The supplier, however, must not conceal the security risks of its IT platform from the user since this would violate the parties’ disclosure and good faith requirements. Are any individuals involved? These obligations must also be viewed in light of Quebec’s Charter of Human Rights and Freedoms, which also applies to private companies. Companies that process information on behalf of third parties must do so in accordance with the principles set out in the Charter whenever individuals are involved. For example, if a CRM platform supplier offers features that can be used to classify clients or to help companies respond to requests, the information processing must be free from bias based on race, colour, sex, gender identity or expression, pregnancy, sexual orientation, civil status, age except as provided by law, religion, political convictions, language, ethnic or national origin, social condition, a handicap or the use of any means to palliate a handicap.7 Under no circumstances should an AI algorithm suggest that a merchant should not enter into a contract with any individual on any such discriminatory basis.8 In addition, anyone who gathers personal information by technological means making it possible to profile certain individuals must notify them beforehand.9 To recap, although the emerging world of AI is a far cry from the Wild West decried by some observers, AI must be used in accordance with existing legal frameworks. No doubt additional laws specifically pertaining to AI will be enacted in the future. If you have any questions on how these laws apply to your AI systems, please feel free to contact our professionals. Bill C-27, Digital Charter Implementation Act, 2022. In particular, the U.S. Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence, October 30, 2023. Act to establish a legal framework for information technology, CQLR c C-1.1, sec. 3. Ibid, sec. 71. Tessier v. Charland, 2023 QCCS 3355. Lefebvre Frères ltée v. Giraldeau, 2009 QCCS 404. Charter of Human Rights and Freedoms, sec. 10. Ibid, sec. 12. Act respecting the protection of personal information in the private sector, CQLR c P-39.1, sec. 8.1.

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November 21, 2023

Clarifications regarding the application of mandatory disclosure rules to severance agreements

On November 2, 2023, in response to certain controversy, the Canada Revenue Agency (“CRA”) sought to clarify the application of the new disclosure rules, in force since June 22, 2023. The CRA’s comments relate, in particular, to the impact of reporting obligations on severance agreements, a topic we initially covered a few weeks ago1. We believe it is appropriate to go over these clarifications. As a reminder, the disclosure rules generally apply to so-called avoidance transactions carried out to obtain a tax benefit and presenting one of the following three generic hallmarks: contingent fee arrangements, confidential protection or contractual protection. At first glance, the interpretation of these hallmarks suggests that severance agreements involving an employee’s undertaking to indemnify their employer are subject to reporting obligations. However, in response to questions from a number of legal experts, the CRA commented on the disclosure rules, specifying, in particular, that a tax indemnity granted under a severance agreement is not subject to the reporting obligation where it occurs in a business or financial context between persons dealing at arm’s length, and acting freely and prudently. In this regard, the CRA pointed out that the contractual protection included in such an agreement would not be considered a generic hallmark insofar as it does not cover a tax treatment giving rise to an unwarranted benefit. The CRA gave as an example a settlement reached between an employer and employee further to dismissal, harassment complaints or other employment-related recourses, providing for severance pay or warranted damages. Even if the employee were to undertake to reimburse the employer in the event of unexpected tax treatment, this type of agreement would not give rise to reporting obligations. Although the CRA’s clarifications were meant to clear things up, they did not definitively establish how the mandatory disclosure rules apply to severance agreements. A certain level of uncertainty remains with regard to severance agreements with no real legal basis awarding tax-free damages to an employee. In such a case, it would be difficult to argue that the business context warranted a favourable tax treatment for the employee. In the case of an agreement providing for the payment of unwarranted damages, and where contractual protection extends to the tax treatment of the amount paid, the avoidance transaction may, despite the CRA’s comments, require disclosure to the tax authorities. One thing is certain: tax indemnity clauses may well disappear from severance agreements. Ultimately, the new rules reinforce the principle that the granting of tax-free damages should be limited to circumstances that warrant it. Quebec case law has long established that the mere fact of losing one’s job does not give rise to damages, barring exceptional circumstances. In short, the CRA’s guidelines do not have the force of law, and may be amended or revoked at any time. Consequently, maintaining a cautious and conservative approach will be crucial when determining whether the new mandatory disclosure rules apply to severance agreements. Our team of employment law and tax professionals is available to answer your questions about these major changes and help you make informed decisions when negotiating severance agreements. Termination agreements: New reporting requirements apply!

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November 1, 2023

Mining industry: reduction of red tape aimed at facilitating lithium exploration in Quebec

Canada’s finance minister unveiled a series of legislative proposals on August 4, 2023 aimed at making significant changes to the flow-through share regime, particularly as regards lithium exploration. Although a number of these changes had already been announced in the 2023 federal budget, e.g. the inclusion of lithium brine in the “mineral resources” definition, they had not really affected junior exploration companies in Quebec since this type of lithium is virtually non-existent in the province. More targeted change However, the recent proposals include a more targeted change for mining companies exploring for traditional “hard rock” lithium, which is much more common in Quebec. These proposals include amending the definition of “mineral resources” to systematically includetraditional hard-rock lithium in the list set out in section 248 of the Income Tax Act (the “Act”). The consequences As a consequence of this change, the requirement for mining companies to obtain a certificate issued by Natural Resources Canada will be eliminated. The application process for this certificate represented a heavy administrative burden for exploration companies. Moreover, lengthy processing times often delayed the conclusion of flow-through share subscription agreements. This change is a timely one: growing numbers of companies are refocusing on exploring for lithium rather than for more traditional metals such as gold. This reflects not only the market’s infatuation with lithium, but also the recent 30% tax credit potentially available to investors incurring mining exploration expenses involving critical metals. Proceed with caution For the time being, however, these legislative proposals only apply to lithium; they do not cover all critical minerals. Mining exploration companies should proceed with caution if they plan to explore for other types of critical minerals such as graphite and rare earth elements, for example. This is because a mineral resources certificate issued by Natural Resources Canada may still required in those cases. Our team of professionals specializing in securities, mining law and taxation is available to answer any questions you may have concerning this new measure and to guide you in arranging a successful flow-through financing.

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October 19, 2023

Smart product liability: issues and challenges

Introduction In 2023, where do we stand in terms of liability where smart products are concerned? The rules governing product liability set out in the Civil Code of Québec were introduced early in the 20th century in response to the industrial revolution and the growing number of workplace accidents attributable to tool failures.1 Needless to say, the legislator at the time could not have anticipated that, a century later, the tools to which this legislation applied would be equipped with self-learning capabilities enabling them to perform specific tasks autonomously. These “smart products,” whether they are intangible or integrated into tangible products, are subject to the requirements of general law, at least for the time being. For the purposes of our analysis, the term “smart products” refers to products that have: Self-learning capabilities, meaning that they can perform specific tasks without being under a human being’s immediate control. Interconnectivity capabilities, meaning that they can collect and analyze data from their surroundings. Autonomy capabilities, meaning that they can adapt their behaviour to perform an assigned task more efficiently (optional criterion).2 These capabilities are specific to what is commonly referred to as artificial intelligence (hereinafter referred to as “AI”). Applying general law rules of liability to smart products Although Canada prides itself on being a “world leader in the field of artificial intelligence,”3 it has yet to enact its first AI law. The regulation of smart products in Quebec is still in its infancy. To this day, apart from the regulatory framework that applies to autonomous vehicles, there is no legislation in force that provides for distinct civil liability rules governing disputes relating to the marketing and use of smart products. There are two factors that have a major impact on the liability that applies to smart products, namely transparency and apportionment of liability, and both should be considered in developing a regulatory framework for AI.4 But where does human accountability come in? Lack of transparency in AI and product liability When an autonomous product performs a task, it is not always possible for either the consumer or the manufacturer to know how the algorithm processed the information behind that task. This is what researchers refer to as “lack of transparency” or the “black box” problem associated with AI.5 The legislative framework governing product liability is set out in the Civil Code of Québec6 and the Consumer Protection Act.7 The provisions therein require distributors, professional sellers and manufacturers to guarantee that the products sold are free from latent defects. Under the rules governing product liability, the burden of proof is reversed, as manufacturers are presumed to have knowledge of any defects.8 Manufacturers have two means to absolve themselves from liability:9 A manufacturer may claim that a given defect is the result of superior force or a fault on the part of the consumer or a third party; or A manufacturer may argue that, at the time that the product was brought to market, the existence of the defect could not have been known given the state of scientific knowledge. This last means is specifically aimed at the risks inherent to technological innovation.10 That being said, although certain risks only become apparent after a product is brought to market, manufacturers have an ongoing duty to inform, and how this is applied depends on the evolution of knowledge about the risks associated with the product.11 As such, the lack of transparency in AI can make it difficult to assign liability. Challenges in apportioning liability and human accountability There are cases where the “smart” component is integrated into a product by one of the manufacturer’s subcontractors.In Venmar Ventilation,12 the Court of Appeal ruled that the manufacturer of an air exchanger could not be exempted from liability even though the defect in its product was directly related to a defect in the motor manufactured by a subcontractor. In this context, it would be reasonable to expect that products’ smart component would be likely to result many similar calls in warranty, resulting in highly complex litigation cases, which could further complicate the apportionment of liability. Moreover, while determining the identity of the person who has physical custody of a smart product seems obvious, determining the identity of the person who exercises actual control over it can be much more difficult, as custody and control do not necessarily belong to the same “person.” There are two types of custodians of smart products: The person who has the power of control, direction and supervision over a product at the time of its use (frontend custody); The person who holds these powers over the algorithm that gives the product its autonomy (backend custody)13. Either one of these custodians could be held liable should it contribute to the harm through its own fault. As such, apportioning liability between the human user and the custodians of the AI algorithm could be difficult. In the case of a chatbot, for example, determining whether the human user or the AI algorithm is responsible for defamatory or discriminatory comments may prove complex. C-27: canadian bill on artificial intelligence Canada’s first AI bill (“Bill C-27”) was introduced in the House of Commons on June 16, 2022.14 At the time of publication, the Standing Committee on Industry and Technology was still reviewing Bill C-27. Part 3 of Bill C-27 enacts the Artificial Intelligence and Data Act. If adopted in its current form, the Act would apply to “high-impact AI systems” (“Systems”) used in the course of international and interprovincial trade.15 Although the government has not yet clearly defined the characteristics that distinguish high-impact AI from other forms of AI, for now, the Canadian government refers in particular to “Systems that can influence human behaviour at scale” and “Systems critical to health and safety.”16 We have reason to believe that this type of AI is what poses a high risk to users’ fundamental rights. In particular, Bill C-27 would make it possible to prohibit the conduct of a person who “makes available” a System that is likely to cause “serious harm” or “substantial damage.”17 Although the Bill does not specifically address civil liability, the broad principles it sets out reflect the best practices that apply to such technology. These best practices can provide manufacturers of AI technology with insight into how a prudent and diligent manufacturer would behave in similar circumstances. The Bill’s six main principles are set out in the list below.18 Transparency: Providing the public with information about mitigation measures, the intended use of the Systems and the “content that it is intended to generate”. Oversight: Providing Systems over which human oversight can be exercised. Fairness and equity: Bringing to market Systems that can limit the potential for discriminatory outcomes. Safety: Proactively assessing Systems to prevent “reasonably foreseeable” harm. Accountability: Putting governance measures in place to ensure compliance with legal obligations applicable to Systems. Robustness: Ensuring that Systems operate as intended. To this, we add the principle of risk mitigation, considering the legal obligation to “mitigate” the risks associated with the use of Systems.19 Conclusion Each year, the Tortoise Global AI Index ranks countries according to their breakthroughs in AI.20 This year, Canada ranked fifth, ahead of many European Union countries. That being said, current legislation clearly does not yet reflect the increasing prominence of this sector in our country. Although Bill C-27 does provide guidelines for best practices in developing smart products, it will be interesting to see how they will be applied when civil liability issues arise. Jean-Louis Baudouin, Patrice Deslauriers and Benoît Moore, La responsabilité civile, Volume 1: Principes généraux, 9th edition, 2020, 1-931. Tara Qian Sun, Rony Medaglia, “Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare”, Government Information Quarterly, 2019, 36(2), pp. 368–383, online EUROPEAN PARLIAMENT, Civil Law Rules on Robotics, European Parliament resolution of 16 February 2017 with recommendations to the Commission on Civil Law Rules on Robotics (2015/2103(INL)), available online at TA (europa.eu). GOVERNMENT OF CANADA, The Artificial Intelligence and Data Act (AIDA) – Companion document, online. EUROPEAN COMMISSION, White Paper on Artificial Intelligence: a European approach to excellence and trust, COM. (2020), p. 3. Madalina Busuioc, “Accountable Artificial Intelligence: Holding Algorithms to Account”, Public Administration Review2020, online. Civil Code of Québec (CQLR, c. C-1991, art. 1726 et seq. Consumer Protection Act, CQLR c. P-40.1, s. 38. General Motors Products of Canada v. Kravitz, 1979 CanLII 22 (SCC), p. 801. See also: Brousseau c. Laboratoires Abbott limitée, 2019 QCCA 801, para. 89. Civil Code of Québec (CQLR, c. CCQ-1991, art. 1473; ABB Inc. v. Domtar Inc., 2007 SCC 50, para. 72. Brousseau, para. 100. Brousseau, para. 102. Desjardins Assurances générales inc. c. Venmar Ventilation inc., 2016 QCCA 1911, para. 19 et seq. Céline Mangematin, Droit de la responsabilité civile et l’intelligence artificielle, https://books.openedition.org/putc/15487?lang=fr#ftn24; See also Hélène Christodoulou, La responsabilité civile extracontractuelle à l’épreuve de l’intelligence artificielle, p. 4. Bill C-27, An Act to enact the Consumer Privacy Protection Act, the Personal Information and Data Protection Tribunal Act and the Artificial Intelligence and Data Act and to make consequential and related amendments to other Acts, Minister of Innovation, Science and Industry. Bill C-27, summary and s. 5(1). The Artificial Intelligence and Data Act (AIDA) – Companion document, Government of Canada, online. The Artificial Intelligence and Data Act (AIDA) – Companion document canada.ca. Bill C-27, s. 39(a). AIDA, Companion document Bill C-27, s. 8. TORTOISE MEDIA, The Global AI Index 2023, available at tortoisemedia.com.

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