In legal systems, dissent is often misunderstood as disruption. In reality, it serves a far more essential function. It is the mechanism that allows the law to question itself, evolve, and correct its course over time.
As conversations around artificial intelligence and automated decision-making accelerate, the role of dissent is becoming increasingly significant. In a recent episode of XRaised, The Honorable Michael Kirby AC CMG and MiAI LAW CEO Laina Chan explored this idea through the lens of law, technology, and human judgment.
Their discussion suggests that dissent is not simply a feature of legal systems. It is a safeguard.
Justice Kirby framed the discussion within the broader context of societal change.
Over time, attitudes toward race, gender, and minority rights have evolved, often in response to growing awareness and shifting values. Technology has accelerated this process by expanding access to information and connecting perspectives across borders.
Yet progress is rarely linear. Advances often trigger resistance. Periods of reform are followed by pushback, reflecting the tension between established systems and emerging ideas.
This pattern highlights an important reality. Justice is not static. It is shaped continuously through debate, disagreement, and reconsideration.
Within this process, dissent plays a central role.
In common law systems, dissenting opinions are not anomalies. They are built into the structure of decision-making.
When judges disagree, they do more than express an alternative view. They create a record of reasoning that may influence future cases. A dissenting opinion, though not binding in the present, can shape how the law develops over time.
This is how legal systems adapt.
Dissent introduces new perspectives, challenges accepted interpretations, and exposes limitations in existing frameworks. Without it, the law risks becoming rigid, unable to respond to changing social and ethical realities.
Laina Chan’s experience in practice illustrates how this dynamic operates at a practical level.
She described a case in which a widely accepted interpretation of the law appeared to determine the outcome before arguments were fully considered. The prevailing assumption was that her clients had no viable claim.
Presenting an alternative interpretation was difficult. The argument initially met resistance from the bench and opposing counsel.
However, as the reasoning became clearer, the court reconsidered. The outcome shifted. What had seemed unlikely became the final judgment.
This example highlights a key aspect of dissent. It is not about opposing for its own sake. It is about identifying where accepted reasoning may be incomplete.
When grounded in clarity and evidence, dissent can change outcomes.
One of the most significant examples of this process is the Mabo decision in Australia.
For decades, legal doctrine denied Indigenous Australians recognition of their traditional land rights. This position was rooted in historical assumptions that had remained largely unchallenged within the legal system.
The High Court’s decision to overturn that doctrine marked a fundamental shift in legal thinking. It recognized native title and affirmed that rights could not be denied on the basis of race.
Such a transformation did not emerge from strict adherence to precedent. It required a willingness to question established principles and to acknowledge their limitations.
This is the function of dissent at its highest level. It signals when the law must move forward.
As artificial intelligence becomes more integrated into legal research and decision-making, the importance of this process becomes more pronounced.
AI systems are designed to process large volumes of information, identify patterns, and generate structured outputs efficiently. They can significantly enhance research capabilities and improve access to legal knowledge.
However, these systems operate within defined constraints.
They rely on existing data, established rules, and programmed objectives. By default, they tend to reinforce what is already known rather than challenge it.
This creates a potential limitation.
If legal reasoning is reduced to pattern recognition alone, the space for dissent may narrow. Alternative interpretations, minority opinions, and emerging lines of thought may be overlooked in favor of dominant or established views.
Chan emphasized that the design of AI systems plays a critical role in addressing this challenge.
At MiAI LAW, the focus is not only on identifying the binding rule of a case but also on capturing the reasoning of individual judges, including minority decisions. Rather than collapsing multiple perspectives into a single output, the system preserves nuance.
This approach reflects an important principle. Legal reasoning is not singular. It is layered, often containing competing interpretations.
By retaining those layers, AI can support more informed decision-making without eliminating the complexity that defines the law.
The conversation also raised a broader concern regarding the role of AI in decision-making.
As these systems become more advanced, there is a growing question of where the boundary lies between assistance and authority.
Justice Kirby drew a clear distinction. AI can assist human judgment, but it must not replace it.
This is particularly critical in high-stakes environments. Decisions involving legal rights, public policy, or national security cannot be delegated entirely to automated systems.
Human oversight remains essential. Machines apply rules. Humans interpret them.
Chan reinforced this point from a practical perspective.
AI systems are designed to be useful and responsive, but they are not inherently accurate. Their outputs are shaped by probabilities and patterns rather than understanding.
Without appropriate constraints and verification, they can produce results that appear coherent but lack reliability.
This is why maintaining a human in the loop is not simply a precaution. It is a requirement.
Even well-designed systems cannot anticipate every possible use case or application. The responsibility ultimately rests with the user.
What emerges from this discussion is a clearer understanding of how law and technology intersect.
Dissent ensures that the law remains adaptable.
Human judgment ensures that decisions remain grounded. AI enhances capability but does not replace responsibility.
Together, these elements define a system that is both efficient and resilient.
As legal systems continue to evolve alongside technological advancements, the role of dissent will not diminish.
If anything, it will become more important.
In a world increasingly driven by speed and certainty, dissent introduces reflection. It challenges assumptions, expands perspectives, and preserves the conditions necessary for progress.
It is not a barrier to decision-making.
It is what ensures that decisions remain just.
