What is the purpose of business continuity planning for AI systems?

• A. Improve UI aesthetics.
• B. Ensure resilience and recovery after AI system disruptions.
• C. Increase training data.
• D. Reduce model complexity.

Answer: (B)

Business continuity planning for AI systems is about resilience and rapid recovery when disruptions occur. It involves identifying which AI services are critical, setting recovery targets, and building redundant infrastructure, backup data pipelines, and clear incident response and rollback procedures. In the AI context, disruptions can come from data outages, failures in model hosting, broken data streams, model drift, software bugs, or cyber incidents. A solid plan provides standby models, failover paths, version control, and tested recovery runbooks to minimize downtime and preserve the integrity of decisions. The other options don’t address keeping AI-enabled operations running or restoring them after interruptions—UI aesthetics, more training data, or simply reducing model complexity don’t inherently ensure continuity or quick recovery.