What is the purpose of business continuity and incident response in AI governance?

• A. To ensure that AI systems can continue operating and recover quickly from disruptions.
• B. To maximize short-term profit.
• C. To rewrite codebases after deployment.
• D. To replace human operators with fully automated systems.

Answer: (A)

In AI governance, the focus is on keeping AI services reliable and recoverable when problems arise. Business continuity ensures that AI systems can keep operating or resume operations quickly after disruptions, such as outages, data issues, or infrastructure failures. Incident response provides a structured approach to detect, contain, eradicate, and recover from security or reliability incidents, minimizing impact on users, data integrity, and safety.

Together, they protect service availability, maintain trust, support regulatory requirements, and reduce downtime and losses. This includes practical measures like backups, redundancy, failover capabilities, tested recovery plans, clear incident runbooks, and effective communication with stakeholders.

The other options miss the core aim: maximizing short-term profit isn’t the intent of continuity and incident response; rewriting code after deployment is a development activity, not a continuity or response function; and replacing human operators with full automation isn’t the goal of these governance practices.