Concern 801 · Working draft · editorial review in progress

EU AI Act tiers

The EU AI Act uses different duties for different kinds of AI risk; the concern is whether a system is classified correctly and the required protections actually work.

Understanding the concern

A tool that sorts a music collection does not raise the same issues as one used in hiring or border decisions. The Act therefore distinguishes prohibited practices, high-risk uses and specific transparency duties, alongside uses with fewer AI-specific requirements. These are legal categories, not a promise that anything outside a high-risk category is harmless.

Think of building rules that depend on whether a structure is a garden shed or a hospital. The intended use matters as much as the technology. The Commission's updated timeline reflects the 2026 AI Omnibus, including later dates for major high-risk requirements. Readers should check the category, responsible organization and applicable date rather than rely on a simple four-color chart.

An example

A developer assumes its general chatbot is low risk even after a customer adapts it to screen job applicants.

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 overview is educational. Different duties and transitional rules apply on different dates; the original 2024 implementation timetable is no longer sufficient.

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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

What is the system actually used to decide, and which protections follow from that use?

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
Serious · 3/5
Likelihood
Widely observed · 4/5
Time horizon
Now
Register risk score
12
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