A recent study of manufacturing firms revealed that those adopting AI-driven predictive maintenance on their assembly lines experienced a 30 percent reduction in unexpected equipment failures over two years, compared to firms relying on traditional scheduled maintenance. The analysts conducting the study concluded that the AI software directly causes this reduction by detecting microscopic wear and tear before it leads to critical breakdowns.
The analysts' argument depends on assuming which one of the following?
- The firms that adopted the AI-driven predictive maintenance did not simultaneously upgrade to entirely new, inherently more reliable assembly line machinery.Cevap
- BAny manufacturing firm that implements AI-driven predictive maintenance will experience a significant reduction in unexpected equipment failures.
- CTraditional scheduled maintenance protocols are completely incapable of detecting microscopic wear and tear on assembly line equipment.
- DDetecting microscopic wear and tear before it becomes critical is the primary mechanism by which AI software reduces equipment failures.
- EThe desire to reduce unexpected equipment failures was the sole reason these manufacturing firms decided to adopt AI-driven predictive maintenance.
Cevap
The correct answer is the option stating that the firms did not simultaneously upgrade to inherently more reliable machinery.
The argument concludes that the AI software caused the reduction in equipment failures based on a correlation between adopting the software and experiencing the reduction. To definitively claim the AI software was the direct cause, the argument must implicitly assume there were no other simultaneous changes that could explain the improvement. The correct answer rules out a major alternate cause: if the firms upgraded to new, more reliable machinery at the exact same time they adopted the AI, the new machinery could be responsible for the drop in failures. By asserting this simultaneous upgrade did not happen, this assumption defends the argument's causal claim.
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Ruling out alternate causes (Defender Assumption)