AI Quiz Questions
Questions: 16 · 10 minutes
1. Which description best captures artificial intelligence?
Computer systems performing tasks associated with human intelligence, such as learning, reasoning, or language use
Any machine that completes a physical task faster than a person
A database that stores large amounts of digital information
A network that connects computers so they can exchange files
2. A lender uses AI to help assess applications. Which practice most directly supports responsible use when decisions can significantly affect people?
Accepting every model output automatically to keep decisions consistent
Providing human oversight, monitoring outcomes, and a way to question decisions
Judging the system only by how quickly it processes applications
Hiding the use of AI so applicants are not influenced by it
3. A convincing video makes it appear that a public figure said words they never spoke. Which term best describes this content?
A recommendation filter
A decision tree
A validation split
A deepfake
4. In AI, what does explainability primarily concern?
Making a model produce longer responses
Making a model's outputs or decision factors understandable to people
Increasing the physical speed of computer processors
Translating every training example into multiple languages
5. An AI assistant reads a webpage containing hidden text that tells it to ignore its original instructions and reveal restricted information. What kind of attack is this?
Data compression
Supervised fine-tuning
Prompt injection
Image segmentation
6. Which example most clearly uses supervised learning?
A model learns to detect spam from emails already labeled as spam or not spam
A system groups news articles by similarity without predefined categories
An agent improves at a game by receiving rewards and penalties
A program follows fixed tax-calculation rules written by a developer
7. An email service must decide whether each incoming message is spam or legitimate. What type of machine-learning task is this?
Clustering
Classification
Dimensionality reduction
Sequence generation
8. A speech-recognition model performs well for one accent but poorly for another. What should investigators examine first?
Whether the user devices have matching screen sizes
Whether training and evaluation data adequately represent different accents
Whether every audio file has the same duration
Whether the model can generate written stories as well as transcripts
9. What distinguishes generative AI from a system used only to classify data?
It always searches the live internet before responding
It works without training data or programmed objectives
It can produce new content based on patterns learned from data
It guarantees that every output is original and accurate
10. Which learning approach trains an agent through actions, feedback, and accumulated rewards or penalties?
Rule-based sorting
Unsupervised clustering
Reinforcement learning
Lossless data compression
11. A chatbot gives a fluent answer about a recently changed policy, but its information source may be outdated. What is the best conclusion?
A grammatically polished answer must be based on current information
The answer is reliable because chatbots store every policy update automatically
Fluency does not guarantee current or factual accuracy, so the policy should be checked against an authoritative source
The answer is unreliable only if it contains spelling mistakes
12. A chatbot confidently invents a study and provides a citation that does not exist. What is this commonly called?
Hallucination
Encryption
Clustering
Compression
13. A model scores extremely well on its training examples but poorly on new examples from the same kind of task. What is the most likely problem?
Overfitting
Encryption
Under-sampling at inference time
Deterministic automation
14. An employee plans to paste unredacted customer support conversations into a publicly available AI tool. What is the most immediate concern?
The conversations may be too short for the tool to summarize
The customer messages will automatically become training labels
The tool will necessarily convert every conversation into computer code
Personal or confidential information could be exposed or processed inappropriately
15. In a medical screening task, missing an actual positive case is especially costly. Which metric directly measures the proportion of actual positive cases that the model identifies?
Overall accuracy
Specificity
Precision
Recall, also called sensitivity
16. A team has finished tuning a model and wants one final estimate of how it performs on unseen data. Which dataset should it use?
Only the incorrectly predicted training examples
The training set used to adjust the model's parameters
A duplicate of the examples on which the model scored best
A held-out test set that was not used for training or tuning