The EU AI Act defines an AI system as a machine-based system that operates with some level of autonomy and infers from inputs to generate outputs like predictions, decisions, or content. This covers most modern AI tools including ChatGPT and machine learning applications.
What Counts as AI Under the EU AI Act? Understanding the Definition
The Broad Definition
The EU AI Act uses a broad, technology-neutral definition of AI. An AI system is defined as a machine-based system designed to operate with varying levels of autonomy, that may exhibit adaptiveness after deployment, and that infers from the input it receives how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments.
This definition is intentionally wide to ensure it remains relevant as technology evolves. It covers not just the cutting-edge systems you read about in the news, but also many tools businesses use every day.
What Tools Are Covered
Under this definition, the following tools commonly used by businesses would be considered AI systems: large language models like ChatGPT, Claude, or Gemini; automated recommendation systems on websites; AI-powered hiring and screening tools; predictive analytics software; automated customer service chatbots; AI-based image and document recognition; and machine learning models for business forecasting.
Even relatively simple automated systems could qualify if they infer patterns from data and make predictions or recommendations based on those patterns.
What Isn't Covered
Not every piece of software is an AI system under the EU AI Act. Traditional software that follows explicitly programmed rules without inferring from data is generally not covered. Simple calculators, basic spreadsheet formulas, conventional database queries, and rule-based automation (like email auto-responders with preset messages) typically don't qualify as AI systems.
The key distinction is between systems that follow fixed rules and systems that learn from or infer patterns in data. If the software makes predictions, generates content, or adapts its behavior based on data, it's likely covered.
Why the Definition Matters
Understanding whether your tools qualify as AI systems under the EU AI Act determines what obligations apply to your business. If you're using tools that fall under the definition, you need to comply with the relevant requirements — at minimum the AI literacy obligation. If your tools are traditional software that doesn't meet the AI definition, these specific requirements don't apply (though other laws like GDPR might still be relevant).
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Take the Readiness Check 3 minutes · 10 questions · no signup requiredThis article is for informational purposes only and does not constitute legal advice. Regulatory requirements change frequently — verify current rules with official sources. Built by Sawai Gyoseishoshi Office, Hiroshima, Japan.