The AI Test for Canadian Democracy

Canada often finds itself in a unique position within conversations about artificial intelligence. On one hand, it is home to some of the world’s leading AI research institutions and has played an influential role in shaping international discussions around responsible AI. On the other, it continues to maintain relatively high levels of trust in democratic institutions compared to many of its peers. This unique combination presents both an opportunity and a responsibility.

As AI becomes increasingly embedded in political communication, election campaigns, and public discourse, much of the debate has focused on whether the technology will strengthen or weaken democracy. In reality, the answer is likely both. AI lowers barriers to political participation while simultaneously lowering barriers to political manipulation. The challenge for Canada is determining how to ensure it expands democratic participation without undermining the trust that democracy depends on.

Democratic Backsliding Begins with Public Trust

Democratic backsliding is often associated with visible institutional change. Elections start being less competitive, judicial independence weakens, or governments begin to erode constitutional checks and balances. Increasingly, however, scholars have drawn attention to a more gradual form of democratic decline that begins within public attitudes towards democracy itself.

This form of attitudinal backsliding occurs when citizens lose confidence in democratic institutions, and thereby are less committed to democratic norms, or disengage from political participation altogether. Although these shifts are often subtle, they weaken the social foundations that allow democratic institutions to function over time.

By making it increasingly difficult to distinguish authentic political information from manipulated content, AI has the potential to accelerate this process. When uncertainty becomes the norm, public trust begins to erode. Democracy ultimately depends on more than free elections or effective institutions; it also requires citizens to believe that political debate is grounded in a shared understanding of reality.

For Canada, where public trust remains one of democracy’s greatest strengths, preserving that trust should be a central consideration in AI governance.

When Authentic Evidence Becomes Easier to Deny

One of AI’s less discussed democratic risks is what researchers refer to as the “liar’s dividend.” Once synthetic media is almost indistinguishable from the real thing, authentic evidence gets easier to dismiss. Public officials can increasingly claim that legitimate recordings or images have been artificially generated, and journalists face greater difficulty convincing audiences that documented evidence is genuine. As a result, over time there is a weakening of the shared evidentiary standards upon which democratic accountability depends.

This is particularly relevant in Canada’s political context, where trust in public institutions has historically been reinforced by relatively strong electoral administration and independent journalism. If authentic evidence itself becomes subject to persistent doubt, accountability is more difficult regardless of whether the underlying information is true.

Democracy Cannot Function in an Endless Information Stream

AI has also made it possible to produce political content at unprecedented speed and scale. Campaigns, advocacy groups, media outlets, and malicious actors can now produce vast amounts of text, images, and video at very low cost. This makes the political landscape progressively harder to navigate, as people struggle to distinguish credible information from an unending stream of competing narratives.

One of the foundations of democratic participation is the capacity for citizens to evaluate competing ideas and engage meaningfully with public debate. If the volume of political information continues to expand, maintaining that capacity becomes extremely difficult. This information overload then risks producing disengagement altogether, which undermines the very capacity for evaluation and engagement that democratic participation depends on.

Lowering the Barrier to Political Participation

While AI introduces new democratic risks, it can also help address longstanding barriers to political participation. Political campaigns have traditionally rewarded those with access to financial resources and institutional networks. For smaller campaigns, independent candidates, and grassroots organizations, building that capacity has often been one of the greatest obstacles to entering the political arena.

Generative AI is positioned to redistribute some of that capacity by reducing the barrier to entry. The lower cost and resource intensiveness to conduct research, communications, and campaign operations enables emerging political actors to compete more effectively without requiring the same level of organizational infrastructure. This is particularly significant in local politics, where campaigns frequently rely on volunteers and limited financial resources.

AI will not eliminate structural inequalities in political participation, but it has the potential to reduce some of the barriers that have historically limited who is able to participate.

Lowering the Barrier to Political Understanding

Expanding democratic participation also requires expanding access to political information.

Access to political information is just as essential to expanding democratic participation as access to the political process itself. Canadian public policy, however, is often complex, technical, and difficult to navigate, and for many citizens, meaningful participation is constrained by the challenge of understanding legislation and evaluating competing political claims

Used responsibly, AI can make this information significantly more accessible. It can translate technical policy into plain language, compare party platforms, and help citizens engage with political issues in ways that better reflect their individual needs and levels of expertise. At the same time, AI-powered translation and accessibility tools have the potential to broaden participation among Canadians who have historically faced barriers to engaging with political information.

With appropriate safeguards and reliable information, these benefits illustrate that AI can strengthen democratic participation when designed to improve access rather than replace human judgment.

Canada’s Opportunity

Canada has an opportunity that relatively few countries possess. It combines internationally recognized leadership in AI research with democratic institutions that continue to enjoy comparatively strong public confidence. At this critical juncture, Canada is well positioned to shape the governance frameworks that will determine how these technologies interact with democratic life.

Importantly, doing so requires moving beyond a conversation focused exclusively on technological innovation or technological risk. The more pertinent question is how AI can be governed in ways that preserve public trust while expanding opportunities for meaningful civic participation.

Ultimately, AI will not determine the future of Canadian democracy on its own. That future will depend on the institutions, policies, and democratic norms that shape how the technology is used. Canada’s greatest opportunity is to demonstrate that democratic governance and technological innovation can evolve together.