Major Milestones in AI Evolution AIE Practice Questions (Page 2)

Questions 6–10

1. 6application · easy

   A tech historian is writing an article about the evolution of neural networks. She wants to highlight the researcher who was instrumental in popularizing the backpropagation algorithm in the 1980s, which enabled training of multi-layer networks. Which researcher should she feature?

   • AGeoffrey Hinton
   • BMarvin Minsky
   • CAlan Turing
   • DJohn McCarthy
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2. 7expert · medium

   A university is creating an AI ethics course. They want to include a pioneer whose work on the Turing test has been both influential and controversial in discussions of machine intelligence. Which figure's work is most relevant to this debate?

   • AJohn McCarthy, because he coined the term 'artificial intelligence' and defined its ethical boundaries.
   • BAlan Turing, because the Turing test is a foundational but debated criterion for machine intelligence.
   • CMarvin Minsky, because he developed the first ethical guidelines for AI.
   • DGeoffrey Hinton, because he proposed the Turing test as a measure of consciousness.
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4. 8foundation · easy

   What was the primary significance of the Turing test in the history of AI?

   • AIt proposed a practical criterion for determining whether a machine can exhibit intelligent behavior.
   • BIt introduced the first neural network architecture for pattern recognition.
   • CIt demonstrated that machines could learn from data without explicit programming.
   • DIt established the formal definition of artificial intelligence as a scientific discipline.
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5. 9application · medium

   A company is considering using a generative AI model to produce marketing copy. They are concerned about the model's ability to generate novel content. Which historical development is most directly responsible for this capability?

   • AExpert systems that generate new rules from data
   • BDeep learning architectures like transformers that learn patterns from vast datasets
   • CThe Turing test, which enables machines to think creatively
   • DThe perceptron, which can generate any text if given enough layers
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6. 10expert · hard

   A company is deciding whether to invest in generative AI for customer support. They are concerned about the technology's maturity and potential risks. Which historical pattern should they consider when making this decision?

   • AGenerative AI has shown rapid progress, but they should evaluate its limitations and plan for risk mitigation.
   • BGenerative AI is a passing trend, similar to past AI winters, so they should avoid it.
   • CGenerative AI is guaranteed to succeed, so they should invest all resources into it.
   • DGenerative AI is a mature technology with no risks, so they should invest immediately.
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