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An in-house software developer is tasked with enhancing the company's internal helpdesk portal by adding an AI chatbot to assist employees with common IT questions. This new feature implementation is an example of AI:
Application integration
A company policy states that generative AI may be used only to draft internal documentation and never to create customer-facing communications without human review. This policy is primarily addressing the AI's:
Appropriate use
A technical writer copies AI-generated troubleshooting steps into a public document without citation and submits the entire guide as original work. This behavior can be most accurately described as an example of:
Plagiarism
A predictive maintenance AI consistently flags hardware from one specific manufacturer for replacement, despite telemetry data showing those units are functioning within normal parameters. The system was trained primarily on repair logs from a period when that manufacturer had a known temporary defect. This type of error in the AI’s output can be best described as:
Bias
A Windows help desk technician queries a generative AI tool for steps to troubleshoot a printer connectivity issue. The AI provides a detailed solution referencing a non-existent firmware version and a specific registry key that is not present in Windows. Which AI-related problem does this scenario illustrate?
Hallucinations
What is the most reliable way to mitigate the risks associated with AI accuracy limitations?
Verifying all AI-generated output against relevant official sources
Which of the answers listed below describe the characteristics of private AI deployments?
User inputs are isolated and excluded from external model training
Organizations maintain exclusive control over data security
Models are trained on specific, internally vetted data sources
Which of the answers listed below describe the characteristics of public AI deployments?
Service providers manage data storage in a multi-tenant cloud
Models are trained on broad, unvetted public internet datasets
User inputs may be used to improve the provider’s AI systems