automated-decision-making

Automated-decision-making is the structured practice of delegating decision authority to algorithmic systems — software, rulesets, statistical models, and machine learning outputs — that process inputs according to predefined logic and produce decisions without direct human intervention at the point of decision. Parameters: (1) decision domain (the kind of choice being made — credit, hiring, content, benefits, diagnosis), (2) automation level (fully automated, human-in-the-loop, human-over-the-loop), (3) input data (structured, semi-structured, or unstructured), (4) decision output (binary, ranked, classified, or generated). Persistence mechanism: institutional policy documents, regulatory frameworks, software deployment pipelines, operational procedures, and contractual obligations between organizations and vendors. [formal: automated-decision-making | substrate: behavior | horizon: hours | explicit: yes | epoch: 0.01]