Implementation of the AI Act raises difficult questions. What is the scope of the AI system defintion? Based on which criteria can the risk category of an AI system be identified? The below tool helps deployers and producers of AI systems with implementation of the AI Act through two dynamic questionnaires:

1. Identification of AI systems and impactful algorithms
2. Identification of risk category and prohibited applications.

The questionnaires are designed to identify AI systems and their risk category using straightforward questions.

Since many straightforward algorithms that impact people are not considered AI systems, the first questionnaire also identifies impactful algorithms. The term ‘impactful algorithms’ is used by the Dutch government to refer to simple algorithms that do not meet the definition of an AI system under the AI Act but still require risk management measures. More information can be found in the Algorithm Registry Guidance Document of the Dutch Ministry of the Interior.

All potential outcomes of the first questionnaire are shown in the figure below on this webpage.

The outcomes of the first questionnaire are displayed in the below figure. The following categories are distinguished:

• Algorithms: fall outside the scope of the AI Act, no additional control measures are needed
• Impactful algorithms: fall outside the scope of the AI Act, additional control measures are needed
• AI systems: are in scope of the AI Act, no additional control measures for high-risk AI systems are needed
• High risk AI systems: are in scope of the AI Act, additional control measures for high-risk AI systems are needed
• Prohibited AI systems: are in scope of the AI Act, usage of this type of AI systems is prohibited in the European Union

The questions in the AI Act Implementation Tool are developed in collaboration with the municipaility of Amsterdam. The source code of the tool can be found on Github and can be re-used under the EUPL-1.2 license.

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The reasoning and motivations behind the selected questions in the AI Act Implementation Tool are outlined in the below documents.

Explainer - 10 examples of (non) AI systems

Explainer - Rule-based algorithms under the AI Act

Explainer - Definition of an AI system under the AI Act

White paper - Guidelines for AI Act Implementation