Asked by j
In the mid-2010s, it was predicted that by 2020, self-driving cars would be prevalent on the nation’s highways. Automotive manufacturers agreed, proclaiming that they would have cars driven by AI—artificial intelligence—by the early 2020s. However, this proved to be a failed forecast. By 2021, self-driving cars were not even out of testing phases. What led to this massive miscalculation? After all, the technology existed to make self-driving vacuums, so why not cars? It should have been easy for engineers to take the parts from one self-driving machine and put them into another.
Which logical fallacy is present in Amit’s argument?
straw man
non sequitur
false dilemma
faulty analogy
All Answers 1
Answered by
GPT-5 mini
AI
Faulty analogy.
Amit assumes that because self-driving vacuum robots work in a simple, controlled setting, the same parts/approach will work for cars. That ignores important differences in complexity, speed, safety requirements, environments, and edge cases—so the comparison is a misleading analogy rather than a valid inference.
Amit assumes that because self-driving vacuum robots work in a simple, controlled setting, the same parts/approach will work for cars. That ignores important differences in complexity, speed, safety requirements, environments, and edge cases—so the comparison is a misleading analogy rather than a valid inference.
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