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AI Governance Glossary
Governance Concept

What Is General-Purpose AI (GPAI)?

General-Purpose AI (GPAI) is an AI model trained on large amounts of data that exhibits significant generality and can perform a wide range of distinct tasks, including tasks it was not explicitly trained for.

Definition

General-Purpose AI (GPAI)an AI model trained on large amounts of data that exhibits significant generality and can perform a wide range of distinct tasks, including tasks it was not explicitly trained for.

The EU AI Act introduced GPAI as a distinct regulatory category covering foundation models (GPT-4, Claude, Gemini, Llama, etc.). All GPAI model providers must comply with basic obligations — transparency, technical documentation, a policy for copyright-compliant training data. Providers of GPAI models that pose "systemic risk" (measured by compute threshold: >10²⁵ FLOPs) face additional obligations including adversarial testing, incident reporting, and cybersecurity measures. The systemic-risk category was the most contested provision during negotiations.

Source: EU AI Act, Articles 51–56

Plain-language explanation

The EU AI Act introduced GPAI as a distinct regulatory category covering foundation models (GPT-4, Claude, Gemini, Llama, etc.). All GPAI model providers must comply with basic obligations — transparency, technical documentation, a policy for copyright-compliant training data. Providers of GPAI models that pose "systemic risk" (measured by compute threshold: >10²⁵ FLOPs) face additional obligations including adversarial testing, incident reporting, and cybersecurity measures. The systemic-risk category was the most contested provision during negotiations.

Primary source: EU AI Act, Articles 51–56

Related terms

GPAI Code of Practice Foundation Model Frontier Model Systemic Risk (GPAI)

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