Concern 839 · Working draft · editorial review in progress
AI in adjudication
AI-assisted administrative decisions can undermine fairness when people cannot understand, correct or challenge how a public authority reached a decision about them.
Understanding the concern
Government decisions about benefits, immigration or taxes often depend on complex personal facts. AI may help sort information or recommend an outcome, but a wrong assumption can travel through the process unnoticed. A human signature does not guarantee meaningful review if the official simply accepts the recommendation.
Canada's automated-decision guidance illustrates safeguards for covered federal administrative decisions. Think of a caseworker using a summary that leaves out the most important page. The person affected needs a way to correct the record and obtain a reasoned decision from an accountable authority. Efficiency should be judged alongside fairness and access to review.
An example
An applicant receives a denial based on an incorrect record and cannot find out which information influenced the recommendation.
Illustrative unless identified as a documented case.
Words in plain English
- AI
- Software that learns patterns from examples or uses rules to perform tasks such as recognizing images or generating text. It can make mistakes and does not understand every situation as a person would.
Evidence and its limits
The guidance has a defined Canadian federal scope. The example illustrates a general fairness concern and is not a finding about every automated government decision.
Government of Canada · Administrative guidance
Guide on the Scope of the Directive on Automated Decision-Making ↗ (opens in a new tab)Covered federal administrative decisions and procedural safeguards. Not a law applying to all AI uses everywhere in Canada.
Broader frameworks and background
These resources provide context. They do not establish every claim in this concern.
A question to discuss
Can the person see the relevant reasons, correct errors and obtain meaningful reconsideration?
Keep track of different views, what needs checking, and any next step in your own discussion notes.
Open discussion notes →Principles for the conversation
Before you finish · reflect together
Virtues and principles to consider
Virtues are qualities we practice in how we treat people and make choices. They are not scores for judging someone. Use these ideas to explore what a thoughtful response could look like.
Accountability
Accountability means being answerable for decisions and taking responsibility for repair. It requires more than saying that the software made the choice.
Name the person or team responsible, keep useful records, and give them authority to correct problems. Make the route to a complaint clear to the people affected.
Ask together: Who will answer for the outcome and help put things right?
Prudence
Prudence means using careful judgment before and during action. It balances worthwhile opportunities with the need to avoid harm that could have been anticipated.
Start with a limited trial, set stopping points, and prefer choices that can be undone when uncertainty is high. Review what happens rather than assuming the original plan remains sound.
Ask together: What is a careful next step, and when should we stop or change course?
Unity
Unity means working toward shared purposes while making room for real differences. It does not require everyone to have the same experience, beliefs, or opinion.
Look for a goal people can share, then explore disagreements about how to reach it. Make sure quieter or less powerful voices can influence the result.
Ask together: What purpose can we share while respecting our differences?
Editorial ratings
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