A Claude-based content moderation system that serves a social media platform fails silently for 6 hours due to an API configuration error, during which harmful content passes through unmoderated. The architect must design an incident response and disclosure procedure. What framework is most appropriate?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — d is correct because responsible AI incident response requires: detection and containment (restore moderation immediately), harm assessment (understand what content passed through), root cause analysis (prevent recurrence), and appropriate disclosure (the platform's trust and safety team needs to know the scope to assess user harm and regulatory obligations). This is the standard responsible disclosure framework.
Full explanation below image
Full Explanation
D is correct because responsible AI incident response requires: detection and containment (restore moderation immediately), harm assessment (understand what content passed through), root cause analysis (prevent recurrence), and appropriate disclosure (the platform's trust and safety team needs to know the scope to assess user harm and regulatory obligations). This is the standard responsible disclosure framework. A is wrong because silent remediation without disclosure violates trust and safety teams' ability to assess harm to users and may violate regulatory requirements for incident disclosure under data protection and platform safety regulations. C is wrong because deleting all content posted during the window would remove legitimate content along with harmful content, causing collateral harm to users whose benign posts were caught in a blanket deletion; targeted removal based on post-hoc review is more appropriate. B is wrong because waiting for Anthropic guidance before taking any action delays containment — switching to backup moderation (the immediate harm mitigation step) is the architect's responsibility and should not wait for external guidance.