Generative Artificial Intelligence (GenAI)

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.

Generative Artificial Intelligence (GenAI) refers to a class of artificial intelligence models that can generate new and original content, such as text, images, audio, or code, based on patterns learned from large datasets. The report focuses on the risks and benefits of these systems within the judicial context.

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.

GenAI specifically refers to AI models capable of generating novel data, such as human-like text, realistic images, or complex audio. In healthcare, GenAI might create patient summaries, draft communications, or assist in research.

Advanced AI systems capable of producing various forms of content, such as text, images, or code, often in response to prompts.

Generative Artificial Intelligence (GenAI) is a type of AI that can produce novel content, such as text, images, audio, or code, often in response to prompts. These systems are designed to create outputs that can be indistinguishable from human-generated content, raising specific concerns about authenticity and potential for deception in sensitive fields like healthcare.

Generative Artificial Intelligence (GenAI) specifically refers to AI systems that can produce novel content, such as written or verbal patient communications. The bill imposes particular disclosure requirements for the use of GenAI in patient interactions.

A specific type of artificial intelligence system designed to generate derived synthetic content, including text, images, video, and audio, which emulates the structure and characteristics of its training data, as referenced in California Government Code Section 11546.45.5.