When reviewing a project to replace multiple manual data entry systems with an artificial intelligence (Al) system, the IS auditor should be MOST concerned with the impact Al will have on:
B. enterprise architecture (EA).
Implementing AI systems can have significant implications for the overall enterprise architecture. AI systems often require integration with existing systems, data sources, and processes. Changes to the enterprise architecture may be necessary to accommodate the AI system's requirements. This includes considerations such as data storage, data flows, security, scalability, and compatibility with existing IT infrastructure. Ensuring that the AI system aligns with the enterprise's architecture is crucial to avoid disruptions and maintain the overall stability and efficiency of the organization's IT environment.
All the options are relevant, the IS auditor's primary concern should be how the implementation of AI impacts the organization's enterprise architecture, as this can have widespread effects on IT systems and processes.
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