With our forthcoming work, we not only want to ensure that AI systems have been accurately evaluated for potential risk and safety concerns, but we also want to establish a framework that auditors, developers and other stakeholders can use to better assess potential risks and required safety mitigations for AI-based systems. When “safety” doesn’t mean safety: The AI community has conflated “requirements engineering” with “safety measures,” which is not the same thing. The need for new measures: Risk assessment practices taken from other fields, i.e. hardware safety, don’t translate well to AI.