Artificial Intelligence Systems

Artificial Intelligence Systems are defined as systems capable of perceiving an environment through data acquisition and processing. They interpret derived information to take actions or imitate intelligent behavior given a specific goal, and learn and adapt behavior by analyzing how the environment is affected by prior actions. These systems are designed to mimic human cognitive functions.

Machine-based systems that, for given human-defined objectives, can make predictions, recommendations, or decisions influencing real or virtual environments. These systems operate with varying degrees of autonomy across judicial functions.

Refers to the broad category of AI technologies and applications that fall under the regulatory scope of Senate Bill 5, including general-purpose AI tools and specialized applications. This definition is crucial for determining compliance obligations.

AI systems are machine-based systems capable of making predictions, recommendations, or decisions for human-defined objectives, operating with varying degrees of autonomy. They can learn, adapt, and perform tasks typically requiring human intelligence, such as problem-solving and pattern recognition.

Encompasses any machine-based system that, for given objectives, can infer from the input it receives how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. This broad definition determines the scope of regulatory reach.