responsible AI (noun phrase)
The principles and practices an individual or organization applies to make sure its use of AI is safe, fair, compliant, and accountable. In practice, responsible AI usually covers topics like guardrails, bias checks, human review of high-stakes decisions, and clear ownership when something goes wrong.
*Example: "Responsible AI meant every high-stakes decision the system made still had a named person accountable for it."*
Related: guardrails, bias, alignment