Understanding Artificial Intelligence

A student claims that Artificial Intelligence can “think like humans” because it gives human-like answers in chatbots. Based on the video’s explanation of AI, which of the following best evaluates this claim?

• AI truly thinks and feels like humans

• AI only mimics intelligence through pattern recognition

• AI replaces human consciousness entirely

• AI has emotions similar to humans

A company uses AI to recommend products based on customer browsing history. Which concept from the video best explains how this system works?

• Hard coding rules manually

• Pattern recognition from past data

• Random decision-making

• Emotional intelligence

If a machine learns from previous data and improves its predictions over time without being explicitly programmed for every scenario, what type of AI approach is being used?

• Traditional programming

• Machine Learning

• Manual computation

• Human intelligence replication

A teacher says AI is just “fancy automation.” Based on the video, how accurate is this statement?

• Completely correct

• Partially correct, as AI learns from data

• Completely incorrect

• Only true for robots

A student trains a model using thousands of labeled images of cats and dogs. What type of learning is this?

• Unsupervised learning

• Reinforcement learning

• Supervised learning

• Trial-and-error learning

In a scenario where AI groups customers into segments without predefined labels, which type of learning is being applied?

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• Manual learning

A robot learns to play a game by receiving rewards for correct moves and penalties for wrong ones. Which learning approach does this represent?

• Supervised learning

• Reinforcement learning

• Unsupervised learning

• Predictive learning

A business wants to predict future sales based on past trends. Which capability of AI highlighted in the video is being used?

• Creativity

• Prediction based on data

• Emotional reasoning

• Manual calculation

Why is data considered crucial in AI systems?

• It replaces algorithms

• AI learns patterns from data

• It reduces computing power

• It eliminates errors

If an AI model gives wrong predictions due to biased training data, what is the most likely reason?

• AI is malfunctioning

• Poor data quality

• Hardware failure

• Lack of internet