Lecture 5 & Article 5 Multiple Choice Questions PDF

\#\#\# \*\*Multiple-Choice Questions\*\* 1\. Which of the following is NOT a characteristic of AI as described in Lecture 5? \- A. Autonomy \- B. Learning \- C. Physical dexterity \- D. Inscrutability 2\. In the 2000s, what major shift occurred in AI development compared to earlier decades? \...

\#\#\# \*\*Multiple-Choice Questions\*\* 1\. Which of the following is NOT a characteristic of AI as described in Lecture 5? \- A. Autonomy \- B. Learning \- C. Physical dexterity \- D. Inscrutability 2\. In the 2000s, what major shift occurred in AI development compared to earlier decades? \- A. Use of larger physical robots for task automation \- B. A focus on teaching computers to learn from example data \- C. Improved rule-based logic systems \- D. Deployment of mass-market AI tools \-\-- 3\. In the decision-making process, prediction is best defined as: \- A. Using data to determine the correct decision \- B. Filling in missing information using existing data \- C. Comparing multiple outcomes to find optimal results \- D. Evaluating potential risks associated with decisions 4\. Why does the value of judgment increase as prediction improves? \- A. Judgment allows AI systems to self-correct without human intervention. \- B. Judgment ensures compliance with external regulations. \- C. Prediction alone cannot evaluate the payoffs of various outcomes. \- D. Prediction algorithms inherently require frequent human oversight. \-\-- 5\. Which of the following tasks is least suitable for machine learning according to \"Articles - Week 5\"? \- A. Classifying financial transactions as fraudulent or non-fraudulent \- B. Predicting customer churn using historical data \- C. Making decisions requiring long chains of logical reasoning \- D. Diagnosing diseases from medical imaging 6\. What is the role of feedback data in machine learning? \- A. To train the initial prediction model \- B. To provide real-time input during predictions \- C. To refine the model based on observed outcomes \- D. To enable data anonymization for privacy 7\. What is the primary benefit of breaking workflows into tasks when integrating AI? \- A. Ensures all tasks can be automated simultaneously \- B. Enables prioritization based on ROI of individual tasks \- C. Reduces the need for training datasets \- D. Eliminates human judgment from critical processes 8\. Which of the following does NOT provide a sustained competitive advantage for firms using AI? \- A. Unique datasets \- B. Proprietary algorithms \- C. Increased general workforce hiring \- D. Superior judgment capabilities 9\. The substitution effect of AI refers to: \- A. Humans replacing outdated machines \- B. AI systems replacing tasks previously done by humans \- C. The shift in consumer demand for products with AI integration \- D. Workers retraining for entirely new roles 10\. Which skill category is most likely to see increased demand due to AI\'s complementarity effects? \- A. Middle-skilled routine jobs \- B. Low-skilled manual labor \- C. High-skilled roles requiring judgment and creativity \- D. Administrative support roles 11\. Why do machine learning systems struggle with tasks requiring long chains of reasoning? \- A. Limited access to training data \- B. Lack of logical reasoning capabilities \- C. Dependence on human intervention for decision validation \- D. Fragility in rapidly changing data environments 12\. Which of the following is NOT a challenge associated with AI implementation in businesses? \- A. High initial cost of training data \- B. Privacy concerns in feedback data collection \- C. The limited scalability of trained models \- D. Rapid changes in the task environment 13\. What is a likely impact of AI adoption on middle-skill jobs? \- A. Significant growth due to complementarity with AI tasks \- B. Decline due to substitution effects \- C. No impact because these jobs rely on human oversight \- D. Increased complexity, requiring additional training 14\. What organizational change accompanies automation of managerial tasks? \- A. Increased spans of control for remaining managers \- B. Centralized decision-making authority \- C. Elimination of all high-level managerial roles \- D. Reduced need for collaboration within teams 15\. Which of the following is critical for AI startups to succeed in the long run? \- A. Outsourcing prediction tasks to third parties \- B. Ownership of training and feedback data \- C. Developing highly generalized AI tools \- D. Scaling AI systems without external validation 16\. What distinguishes feedback data from training data in AI workflows? \- A. Feedback data is used during initial model creation, while training data is not. \- B. Feedback data refines predictions based on real-world outcomes. \- C. Training data is integrated directly into business operations. \- D. Feedback data cannot be collected from AI predictions. 17\. According to the Resource-Based View (RBV), what enables firms to achieve a sustainable competitive advantage? \- A. Widespread data availability \- B. Resources that are valuable, rare, inimitable, and non-substitutable \- C. High employee turnover \- D. Dependency on third-party prediction tools 18\. Which type of job task is most likely to be replaced entirely by robots? \- A. Creative problem-solving \- B. Managerial decision-making \- C. Physical tasks requiring precision and repetition \- D. High-level strategic planning 19\. How can AI firms mitigate the risk of losing value to third parties in their workflows? \- A. By integrating prediction and judgment tasks in-house \- B. By outsourcing judgment tasks to specialized firms \- C. By anonymizing training data used for predictions \- D. By focusing solely on input data collection 20\. What is a core challenge of separating prediction from judgment in AI workflows? \- A. Prediction systems require constant supervision from judgment teams. \- B. Judgment involves subjective preferences difficult to specify in contracts. \- C. Prediction tools cannot function without direct input from judgment processes. \- D. Feedback data collection becomes redundant if separated. \#\#\# \*\*Answer Key\*\* 1\. \*\*C\*\* 2\. \*\*B\*\* 3\. \*\*B\*\* 4\. \*\*C\*\* 5\. \*\*C\*\* 6\. \*\*C\*\* 7\. \*\*B\*\* 8\. \*\*C\*\* 9\. \*\*B\*\* 10\. \*\*C\*\* 11\. \*\*D\*\* 12\. \*\*C\*\* 13\. \*\*B\*\* 14\. \*\*A\*\* 15\. \*\*B\*\* 16\. \*\*B\*\* 17\. \*\*B\*\* 18\. \*\*C\*\* 19\. \*\*A\*\* 20\. \*\*B\*\*