Also known as: AI Accountability Inputs Β· Artificial Intelligence Accountability Inputs
AI Accountability Inputs are the information flows, records, evaluations, and artifacts that make AI accountability possible. They help identify responsible actors, relevant system factors, and risk conditions that may later inform regulation, litigation, assurance, procurement, or market decisions.
AI accountability inputs are the AI system information flows and evaluations that enable the identification of entities, factors, and systems responsible for the risks and/or harms of those systems. These are necessary or useful practices, artifacts, and products that feed into downstream accountability mechanisms such as regulation, litigation, and market choices.