Concern 356 · Working draft · editorial review in progress

Immigration & asylum triage

Immigration and asylum triage risk is the possibility that automated sorting or analysis unfairly changes how a person's case is handled.

Understanding the concern

A tool might translate an account, summarise documents or prioritise cases. Mistakes can change what an official notices, especially when the applicant has limited time or language support. A cultural expression, missing record or translation error may be mistaken for inconsistency. The effect can begin before any final decision is made.

An asylum account is not simply a form to score. People may describe traumatic events in different ways, and documents may be unavailable. AI assistance needs clear limits, qualified review and a way for the applicant to correct misunderstandings. Claims that whole asylum systems are already automated require evidence about the particular country and process.

An example

A summary leaves out a crucial reason a person cannot return home, and the reviewer relies on that summary.

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

UNHCR's framework supports a rights-focused approach. The example is hypothetical and does not describe UNHCR automatically deciding asylum claims.

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Broader frameworks and background

These resources provide context. They do not establish every claim in this concern.

A question to discuss

Can the applicant and reviewer check the original account and correct mistakes before the tool influences the outcome?

Keep track of different views, what needs checking, and any next step in your own discussion notes.

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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.

Justice

Justice means fair treatment, fair procedures, and attention to who receives benefits and burdens. It asks whether people with less power can be heard and seek repair.

Look at outcomes across different groups and individual cases. Provide a usable way to challenge decisions and correct harm. Equal wording in a policy does not guarantee equal treatment in practice.

Ask together: Who benefits, who bears the cost, and who can challenge the decision?

Dignity

Dignity means recognizing each person's worth regardless of usefulness, status, or a system's score. People deserve respect and a voice in matters that affect them.

Explain important decisions, avoid humiliating treatment, and keep room for a person's story. Do not treat a prediction as a complete account of who someone is.

Ask together: Does this use treat each person as someone whose experience matters?

Listening

Listening means trying to understand someone's experience before preparing an answer. People who use a service, work with it, or are judged by it may notice problems its designers miss.

Invite people to describe what happened in their own words. Repeat back what you understood and let them correct it. A quiet person or a complaint that is hard to measure may still reveal something important.

Ask together: Whose experience have we not heard yet?

Editorial ratings

These are editorial judgments from the register, not measured probabilities or predictions about your situation.

Severity
Major · 4/5
Likelihood
Documented at scale · 5/5
Time horizon
Now
Register risk score
20
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