Concern 551 · Working draft · editorial review in progress
Predictive detention
Predictive detention uses a forecast about possible future behavior to justify restricting someone's liberty.
Understanding the concern
A prediction is not evidence that a person committed an offense. When an automated risk label is treated as a reason to detain, people may be unable to challenge the assumptions, data or associations behind it. The concern is both error and the use of prediction as a substitute for due process.
This differs from using a tool to organize an investigation while requiring independent evidence. The more serious the consequence, the stronger the need for a lawful basis, individual assessment and meaningful review. A model's statistical accuracy cannot by itself answer whether a decision to deprive someone of liberty is justified.
An example
A person is restricted because of an unexplained risk label rather than a clearly established act.
Illustrative unless identified as a documented case.
Words in plain English
- Model
- The learned part of an AI system. It uses patterns found during training to produce an answer or prediction.
Evidence and its limits
OHCHR provides a documented context of surveillance and arbitrary-detention concerns. The entry does not claim that every detention decision in that context was made by AI.
UN Office of the High Commissioner for Human Rights · August 2022 · Human rights assessment
Assessment of human rights concerns in the Xinjiang Uyghur Autonomous Region ↗ (opens in a new tab)Documents broad surveillance and coercion concerns; it does not isolate AI's causal role in each abuse.
Broader frameworks and background
These resources provide context. They do not establish every claim in this concern.
- MIT AI Incident Tracker (opens in a new tab)
incidents
- MITRE ATLAS (opens in a new tab)
framework
- International humanitarian law (IHL)
framework
The body of law that governs the conduct of armed conflict and the protection of people who are not fighting, which applies to AI used in or for conflict.
A question to discuss
What evidence and review should be required before a prediction affects someone's freedom?
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.
Courage
Courage means acting on a well-grounded responsibility even when it is uncomfortable. It can mean trying something useful, admitting a mistake, or challenging pressure to move too fast.
Make it possible for people to raise concerns without punishment. Support those who point out harm, and be willing to pause a popular project when evidence gives a good reason.
Ask together: What important action are we avoiding because it is difficult?
Stewardship
Stewardship means caring for resources and systems that others depend on, including people who will use them later. It looks beyond the benefit of a quick launch.
Plan for maintenance, energy use, data protection, and eventual shutdown. Ask who will look after the tool when the original team moves on and how future users can avoid inheriting hidden costs.
Ask together: What are we responsible for caring for over time?
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?
Editorial ratings
These are editorial judgments from the register, not measured probabilities or predictions about your situation.
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