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A. Job displacement
B. Data privacy issues
C. Ethical dilemmas
D. All of the above
Option: D
Computer Science
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A. Human-in-the-loop
B. Fully autonomous AI
C. Semi-supervised learning
D. Reinforcement learning
Option: B
A. Disease diagnosis
B. Drug discovery
C. Personalized medicine
D. All of the above
Option: D
A. Marketing
B. Sales
C. Customer service
D. All of the above
Option: D
A. Through chatbots providing instant responses
B. By automating transaction processes
C. By managing inventory
D. By designing new products
Option: A
A. Predictive analytics
B. Natural Language Processing
C. Reinforcement Learning
D. Collaborative Filtering
Option: A
A. To mimic human experts in decision-making
B. To classify images
C. To translate languages
D. To predict stock prices
Option: A
A. To maximize the cumulative reward of an agent
B. To classify data into different categories
C. To cluster similar data points
D. To reduce the dimensionality of data
Option: A
A. To measure the intelligence of an AI system
B. To evaluate the speed of a computer
C. To determine the efficiency of an algorithm
D. To test the security of a network
Option: A
A. AI creating too many new jobs
B. AI systems reducing the number of available jobs
C. AI systems requiring too much training
D. AI systems failing to perform tasks accurately
Option: B
A. Accountability
B. Transparency
C. Bias
D. Equity
Option: D
A. AI systems being easy to use
B. AI systems being understandable and explainable
C. AI systems being efficient
D. AI systems being cost-effective
Option: B
A. Data privacy
B. Lack of computational resources
C. High cost of implementation
D. All of the above
Option: D
A. AI making accurate predictions
B. AI systems performing tasks faster
C. AI systems making unfair decisions
D. AI systems consuming too much power
Option: C
A. Healthcare
B. Finance
C. Education
D. Agriculture
Option: B