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How regulators draw the AI line

European guidance shows why classifying a system as AI depends on how its outputs are generated, not just what task it performs.

On this page

  • Why the AI Act avoids covering every software tool
  • How workflow context affects classification
  • Examples where the same outcome can be AI or not
Preview for How regulators draw the AI line

Introduction

A central challenge for the European Union’s AI Act is deciding where artificial intelligence ends and ordinary software begins. If the definition is too broad, routine tools such as spreadsheets, database systems and business-rule engines could fall under AI regulation. If it is too narrow, genuinely autonomous and inference-based systems might escape oversight. The European Commission’s guidance on the AI Act attempts to solve this problem by focusing on how outputs are generated rather than on the task being performed. The key question is not whether software makes a recommendation, prediction or decision, but whether it reaches that output through inferential techniques rather than solely through rules explicitly defined by humans. [ai-act-service-desk.ec.europa.eu+2Digital Strategy]ai-act-service-desk.ec.europa.euA I Act Service DeskAI Act Service Desk - Recital 12 - European UnionMoreover, the definition should be based on key characteristics of AI systems that disti…

EU guidance illustration 1

Why the AI Act avoids covering every software tool

The AI Act’s definition was deliberately designed to distinguish AI systems from what the legislation calls simpler traditional software systems and conventional programming approaches. Recital 12 of the Act states that the rules should not cover systems that merely execute operations based on rules defined solely by human beings. Instead, a defining characteristic of AI systems is the capability to infer how outputs should be generated from inputs. [ai-act-service-desk.ec.europa.eu]ai-act-service-desk.ec.europa.euA I Act Service DeskAI Act Service Desk - Recital 12 - European UnionMoreover, the definition should be based on key characteristics of AI systems that disti…

This distinction addresses a practical regulatory problem. Modern organisations rely on countless automated systems that process information without exhibiting what policymakers consider AI behaviour. Examples include:

  • Database queries that retrieve records according to specified criteria.
  • Spreadsheet formulas that perform predetermined calculations.
  • Workflow tools that route documents according to fixed business rules.
  • Software scripts that execute predefined instructions in a known sequence.

Such systems may be complex, expensive or highly useful, but complexity alone does not make them AI. The Commission’s guidance repeatedly emphasises that the relevant question is whether the software can derive or infer how to produce outputs rather than simply carrying out human-authored instructions. [ai-act-service-desk.ec.europa.eu+2Digital Strategy]ai-act-service-desk.ec.europa.euCommission Guidelines on the definition of an artificial…29 Jul 2025 — This approach to define an AI system reflects the complexity an…

The result is a boundary that aims to be technology-neutral. A system is not regulated as AI because it operates in finance, healthcare or human resources. It is regulated as AI because of the computational method used to generate outcomes. [Global Policy Watch]globalpolicywatch.comeuropean commission guidelines on the definition of an ai systemGlobal Policy WatchEuropean Commission Guidelines on the Definition of an “…5 Jun 2025 — The AI Act (Article 3(1)) defines an “AI syst…

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How workflow context affects classification

One of the most important points in the Commission’s guidance is that classification depends on examining the system’s actual operation within a workflow rather than judging it only by its visible result. Two systems can produce similar outputs while falling on opposite sides of the regulatory boundary. [Reed Smith]reedsmith.comeuropean commission publishes guidelines on the definition of an ai system3 (1) of the AI-Act seven key elements that collectively define an AI system. The AI system's definition is…Read more…

The guidance centres on the concept of inference. Under the AI Act, an AI system is a machine-based system that, for explicit or implicit objectives, infers from received inputs how to generate outputs such as predictions, recommendations, content or decisions. The Commission identifies inference as the key feature separating AI from traditional software. Artificial Intelligence Act+2ai-act-service-desk.ec.europa.eu [artificialintelligenceact.eu]artificialintelligenceact.euArtificial Intelligence ActArticle 3: Definitions | EU Artificial Intelligence Act(1) 'AI system' means a machine-based system that is de…

In practice, regulators are encouraged to look beneath the interface and ask questions such as:

  • Does the system rely on learned models or statistical techniques?
  • Does it identify patterns from data rather than follow only fixed instructions?
  • Can it generate outputs for situations that were not individually specified by programmers?
  • Is the relationship between inputs and outputs derived through inferential methods rather than fully encoded rules?

A user may see only a recommendation or score. The regulatory assessment focuses on the mechanism that produced it. A recommendation generated by a machine-learning model and a recommendation generated by a hand-written decision tree can look similar from the outside, yet the guidance may classify them differently. ai-act-service-desk.ec.europa.eu+2Data Protection Report [ai-act-service-desk.ec.europa.eu]ai-act-service-desk.ec.europa.euCommission Guidelines on the definition of an artificial…29 Jul 2025 — This approach to define an AI system reflects the complexity an…

The Commission’s approach therefore avoids a purely outcome-based test. Otherwise, many conventional software products could become AI systems simply because they influence decisions or automate tasks. [Digital Strategy]digital-strategy.ec.europa.euOpen source on europa.eu.

EU guidance illustration 2

Examples where the same outcome can be AI or not

The guidance becomes clearer when applied to concrete examples.

Fraud detection

A bank might flag suspicious transactions using a fixed threshold such as “flag every transfer above €10,000”. That approach is based on a predefined rule and would generally resemble traditional software. By contrast, a model trained on historical transaction data that estimates the likelihood of fraud for previously unseen transactions uses inferential techniques and is much more likely to fall within the AI definition. ai-act-service-desk.ec.europa.eu+2Global Policy Watch [ai-act-service-desk.ec.europa.eu]ai-act-service-desk.ec.europa.euA I Act Service DeskAI Act Service Desk - Recital 12 - European UnionMoreover, the definition should be based on key characteristics of AI systems that disti…

Recruitment screening

Two hiring systems may both rank job applicants.

One system could use a rigid scoring matrix manually designed by recruiters: add points for specific qualifications, subtract points for missing credentials and sort candidates accordingly. Another could analyse large datasets of previous applications and infer patterns associated with successful hires. Although both generate rankings, the second is closer to the AI Act’s concept of an AI system because the ranking emerges from inference rather than exclusively from human-defined rules. [ai-act-service-desk.ec.europa.eu]ai-act-service-desk.ec.europa.euCommission Guidelines on the definition of an artificial…29 Jul 2025 — This approach to define an AI system reflects the complexity an…

Episode 2 | EU AI Act in Plain English — How AI Is Defined and Who Plays What Role

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Customer support

A support platform that routes messages according to predetermined keywords operates through explicit rules. A support platform that classifies messages using a trained model capable of recognising intent, sentiment or topic in new messages relies on inferential processes. The visible outcome—directing a customer query to the correct department—may be identical, but the underlying mechanism differs. [www.hoganlovells.com]hoganlovells.comwww.hoganlovells.com What is an AI System?The EU Commission's guidance10 Jul 2025 — A machine-based system that is designed to operate with varying levels of autonomy and that may…

These examples illustrate why the Commission focuses on generation methods rather than business purpose. The same practical objective can be achieved through either conventional software engineering or AI techniques. [Responsible AI Platform]aiactblog.nlai system definition commission guidelinesResponsible AI PlatformWhen is software an 'AI system' under the AI Act?30 Jul 2025 — Recital 12 explains that the AI system definition m…

Draft guidelines on the classification of high-risk AI systems

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Why the boundary is useful but not always simple

The Commission’s guidance does not claim that every case can be resolved instantly. Many modern systems combine conventional software components with AI components. A larger business application may contain rule-based workflows, database functions and machine-learning models operating together. In such cases, regulators and organisations must examine the specific component under assessment rather than relying on marketing labels or product descriptions. [Gide]gide.compublication of two sets of guidelines in connection with the ai actPublication of two sets of guidelines in connection with the…16 Apr 2025 — The AI System Guidelines are intended to help providers…

The guidance also recognises that some software may display limited inferential capabilities without necessarily fitting comfortably into popular understandings of AI. This is why the Commission supplements the statutory definition with practical explanations of autonomy, inference and output generation rather than relying on broad cultural ideas about intelligence. [Responsible AI Platform]aiactblog.nlai system definition commission guidelinesResponsible AI PlatformWhen is software an 'AI system' under the AI Act?30 Jul 2025 — Recital 12 explains that the AI system definition m…

From a governance perspective, this approach serves an important purpose. It narrows the scope of the AI Act to systems whose behaviour is shaped by inferential processes while avoiding regulation of ordinary automation tools. That boundary helps regulators apply AI-specific obligations where they are most relevant without turning every software application into a regulated AI system. [ai-act-service-desk.ec.europa.eu+2Digital Strategy]ai-act-service-desk.ec.europa.euA I Act Service DeskAI Act Service Desk - Recital 12 - European UnionMoreover, the definition should be based on key characteristics of AI systems that disti…

EU guidance illustration 3

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Endnotes

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Additional References

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