Generative AI (GenAI)

AI systems that generate novel outputs (e.g., text, images, audio, code) based on learned patterns, distinguished in the Guidelines from targeted or narrow systems; the guidance highlights specific risks such as data leakage and inappropriate use and prescribes tailored end‑user controls and restrictions on uncontrolled use of free public GenAI services.

AI systems that generate novel content—such as text, images, audio or code—by learning patterns from training data, as distinct from systems that only classify or predict; the document uses this operational definition to scope guidance and risk management.

Systems capable of producing new content — text, images, audio or video — by learning patterns from training data and generating outputs in response to inputs or prompts. The guidance uses this term to distinguish models used to synthesise content from other AI systems and to frame specific governance, privacy and risk considerations.

Systems and models capable of producing new content such as text, images, audio, video or code from prompts or inputs; examples include chatbots, large language models and diffusion models. The guidance treats GenAI as the class of technologies whose outputs and training/data handling create specific cybersecurity and privacy risks.

AI models capable of generating new content (text, images, audio, video, or other media) by learning patterns and structures from training data, producing novel outputs with characteristics similar to the input data.

Generative AI (GenAI) refers to advanced AI tools or systems that can create new and original content, including text, images, video, or audio. These systems learn patterns from existing data to generate novel outputs.

Generative AI (Gen AI) describes any form of AI that is capable of creating new content, which can include text, images, video, or audio. These tools operate by learning patterns and structures from vast datasets and then generating novel outputs in response to user prompts. Examples of Gen AI applications range from summarizing documents and answering questions to editing text and producing creative content.

Generative AI (Gen AI) specifically denotes AI systems capable of producing novel content such as text, images, or other data. This output closely mimics human-created content, showcasing advanced capabilities in creative and data synthesis tasks.

A specific type of Artificial Intelligence capable of creating new content, such as images, text, audio, or video, often based on patterns learned from existing data.