Tabletop exercises in AI incident response are designed to train on which aspect?

• A. Standard operating procedures and required resources.
• B. Product marketing strategies.
• C. Algorithmic fairness audits.
• D. Regulatory filings.

Answer: (A)

Tabletop exercises in AI incident response are about rehearsing how the team actually responds when an incident occurs. This means practicing following the established standard operating procedures, knowing who has authority to make decisions, and checking that the necessary resources—people, tools, data access, and communication channels—are available and can be mobilized quickly. By walking through realistic scenarios, teams uncover gaps in procedures, clarify escalation paths, and improve coordination and decision-making under pressure, which is exactly what these exercises are designed to train.

Marketing strategies are outside the incident response focus, so they don’t fit. Algorithmic fairness audits relate to evaluating model behavior and ensuring fairness, which is an ongoing governance activity rather than a response drill. Regulatory filings concern post-incident compliance paperwork, not the day-to-day readiness and execution of an incident response.