algorithm

Any computational procedure, model or code (including machine learning models) that processes data and contributes to administrative decisions; encompasses the logic, models and code that produce algorithmic outputs used in casework.

A computational or machine-learning process used to inform, support, or provide input to human decision making in insurance practices, as contemplated by the statute. The term captures automated decision logic and model-driven computations employed in underwriting, pricing, claims, marketing, or other insurance activities.

A broadly defined set of rules, instructions or procedures that process input data to calculate, predict, rank, recommend or classify outcomes. The Guidelines use this functional definition to cover both rule‑based systems and machine‑learning models used by public organisations.

The defined set of instructions, mathematical rules, and procedures used by an AI system to process data, solve problems, or make decisions; the bill uses this definition to scope documentation, explainability, and auditability requirements.

Used to describe automated or semi-automated decision‑making systems that process personal data and produce predictions, classifications or recommendations; the guidance frames algorithms in practical terms to assess their data‑protection implications.

For the register, an "algorithm" is a set of rules, instructions or computational procedures applied by software to process data and produce outputs that influence decisions or policy outcomes; this scope includes non‑self‑learning deterministic systems, predictive models, statistical scoring tools and AI systems.

An organized set of computational steps, rules, or logic used for problem solving, executing tasks, or operating devices; defined in the bill to clarify the scope of regulated computational procedures underlying AI systems.

A defined set of rules or procedures followed to perform a task or solve a problem, encompassing the computational logic that underlies AI system behavior. The decree defines the term to clarify the scope of oversight, documentation, and auditability obligations.

An algorithm is a set of rules or instructions that a computer follows to solve a problem or complete a task. In AI, algorithms are fundamental to how systems learn from data and make decisions, guiding the processing and interpretation of information.

A computerized procedure consisting of a set of steps used to accomplish a determined task.

An algorithm is a computerized procedure consisting of a finite set of well-defined, unambiguous steps used to accomplish a determined task. It serves as the fundamental building block for many computational processes, including those within artificial intelligence systems.

A set of instructions or mathematical models used by a computer to process data and produce an output, such as a prediction, recommendation, or decision.

A step-by-step procedure or formula for solving a problem or accomplishing a task, especially by a computer. In AI, algorithms are fundamental to how systems process data, learn, and make decisions.

In the context of SB21-169, an algorithm is a systematic process, often computational, that utilizes external consumer data and information sources to inform or automate decisions in various insurance practices, such as underwriting, pricing, and claims management.

Algorithms are precise sequences of instructions or rules that a computer system follows to achieve a specific outcome or solve a computational problem. In the context of AI, algorithms are fundamental to how AI systems process data, learn patterns, and make predictions or decisions.