Personal data used to train AI systems can BEST be protected by:
Answer(s): A
Anonymization removes or irreversibly masks personally identifiable information (PII) in datasets, preventing individuals from being re-identified. This is the most effective method for protecting personal data in AI training while allowing the model to learn patterns from the data.
Embedding unique identifiers into AI models would BEST help with:
Answer(s): C
Embedding unique identifiers (e.g., watermarks or fingerprints) into AI models provides a verifiable link to the creator or owner. This facilitates intellectual property protection, accountability, and traceability of the model, especially in cases of unauthorized use or distribution.
Which of the following AI-driven systems should have the MOST stringent recovery time objective (RTO)?
Health support systems directly impact patient safety and critical medical decisions. Any downtime can have immediate life-threatening consequences, requiring the shortest possible recovery time objective (RTO) to ensure continuous, reliable operation.
An organization has requested a developer to apply AI algorithms to existing modules in order to improve customer service quality. At this stage, which of the following should be considered FIRST?
Introducing AI into existing systems carries potential risks to functionality, customer experience, and safety. Establishing a phased rollout allows monitoring, validation, and adjustment of AI behavior in controlled stages, minimizing negative impact and ensuring a safe and effective deployment.
Which of the following BEST describes how supervised learning models help reduce false positives in cybersecurity threat detection?
Supervised learning models are trained on historical data with known outcomes (labeled as benign or malicious). By learning these patterns, the models can more accurately distinguish legitimate activity from threats, reducing false positives in cybersecurity detection.
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