How does AI impact system reliability?
AI enhances system reliability by predicting failures, automating maintenance, and optimizing performance.
Can you give examples of AI applications that improve reliability?
Sure! AI is used in predictive maintenance for machinery, anomaly detection in networks, and quality control in manufacturing.
What are the risks of relying on AI for system reliability?
Risks include over-reliance on AI predictions, potential biases in algorithms, and the need for continuous data quality.
How can organizations mitigate these risks?
Organizations can mitigate risks by implementing regular audits, maintaining human oversight, and ensuring diverse data inputs.
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