Concern 818 · Working draft · editorial review in progress

Post-market monitoring obligations

Post-market monitoring means checking an AI system after deployment so that new errors, changing conditions and real-world harms do not go unnoticed.

Understanding the concern

Testing before launch cannot reproduce every setting in which a system will be used. Users, data and surrounding processes can change. A tool may also work differently after an update. Monitoring should therefore look for meaningful problems and connect them to investigation and corrective action.

The EU framework includes ongoing monitoring for covered high-risk systems, with requirements affected by later amendments. Think of maintaining a bridge after its opening inspection: safety depends on what happens over time. Useful monitoring is more than counting uptime or customer complaints; it needs information about whether the system continues to serve people as intended.

An example

A model passed its initial tests but begins making more errors after the population using the service changes.

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.
EU
The European Union, a group of European countries with shared institutions and some shared laws.

Evidence and its limits

The service-desk text is flagged as not yet updated for Omnibus changes. The entry explains the monitoring principle; current detailed duties and dates need the amended law.

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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

Who checks for new harms after launch, and what happens when a warning sign appears?

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.

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

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

Severity
Moderate · 2/5
Likelihood
Documented at scale · 5/5
Time horizon
Now
Register risk score
10
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