Generative artificial intelligence

Artificial intelligence that can generate derived synthetic content, including text, images, video, and audio, that emulates the structure and characteristics of the system's training data; this definition explicitly encompasses large language models, image generation systems, video synthesis tools, and audio generation platforms.

An artificial intelligence system capable of generating novel image, video, audio, multimedia, or text content based on prompts or other forms of data provided by a person.

Artificial intelligence that can generate derived synthetic content, including text, images, video, and audio, that emulates the structure and characteristics of the AI's training data and is capable of producing human-like content that could mislead consumers about whether they are interacting with a human or a machine.

Systems or technologies capable of producing or synthesizing content (e.g., text, images, audio, video, or synthetic data) by generating outputs based on learned models and algorithms. The bill uses this term to delimit coverage to AI that actively creates or transforms content rather than all algorithmic systems.

AI systems that generate novel outputs (text, images, code, audio, or other media) in response to user inputs and training data; the statute uses a functional description rather than a technical specification. The term underpins the law's rules for ownership of outputs and models produced or trained using such systems.

Generative artificial intelligence, or generative AI, is defined as a machine-based system that can, for a given set of human-defined objectives, emulate the structure and characteristics of input data in order to generate derived synthetic content including images, videos, audio, text, and other multi-media digital content.

An artificial intelligence system that is trained on data; designed to simulate human conversation through text, audio, or visuals; and generates non-scripted outputs with limited or no human oversight.

'Generative artificial intelligence,' in turn, is specified as AI technology specifically capable of creating synthetic media. This distinction is crucial as it targets the specific application of AI that can produce deepfakes and other manipulated content.

As defined in Section 106.145(1) of the Florida Statutes, a machine-based system that, for a given set of human-defined objectives, emulates the structure and characteristics of input data to generate derived synthetic content such as images, videos, audio, text, and other digital content. The definition is broad and encompasses systems that create or manipulate multimedia or other digital artifacts used in political advertising.

A type of artificial intelligence capable of generating new content, such as text, images, or other media, in response to prompts. The committee specifically focused on the implications of Generative AI for the judicial system.

Advanced AI techniques capable of creating new data, such as audio, video, or images, often indistinguishable from real content.

AI systems capable of producing novel content—such as text, images, audio, video, or other data—that resembles real-world inputs. In the context of this resolution, GenAI denotes the class of models and tools whose outputs are subject to the guidelines on use, oversight, evaluation, and data handling within the provincial public administration.

A class of artificial intelligence models capable of generating new content, such as text, images, audio, or code, often in response to prompts. These models learn patterns and structures from large datasets to produce novel outputs that resemble the training data.

A class of software and functionalities that leverage large language models, deep learning, and machine learning models to generate new content such as text, images, video, and audio from input data patterns, including capabilities like text-to-code translation. The term is used to distinguish content-producing AI from other AI solutions for purposes of oversight and special controls.

A type of artificial intelligence capable of producing various types of content, including text, images, and other media, used in the judicial context to assist in tasks like drafting legal documents.

Models and systems that produce novel content by learning patterns from training data, including generation of text, code, images, and synthetic data; in this Guide GAI denotes tools used to assist or produce research outputs and methods that require disclosure and verification.

Generative artificial intelligence refers to AI systems designed to create new content, including text, images, audio, or video, that can be highly realistic and potentially indistinguishable from content produced by humans. This capability is central to the Act's scope regarding AI-driven defamation.

An AI system that can produce derived synthetic content, such as text, images, or audio, by emulating the structure and characteristics of its training data. This distinction highlights the legislature's awareness of the advanced capabilities of modern AI systems.

Generative AI specifically refers to artificial intelligence models that can produce novel outputs, rather than just analyzing or classifying existing data. These systems learn patterns from large datasets and then generate new data that resembles the training data, often used for creating deepfakes, synthetic media, or creative content.