WorksheetsQuiz on Artificial Intelligence
Total questions: 40
Worksheet time: 20mins
Which of the following best describes Artificial Intelligence (AI) from John McCarthy's perspective?
A) AI is the science and engineering of making intelligent machines, especially intelligent computer programs.
B) AI is the intelligence demonstrated by machines that enables them to mimic human actions.
C) AI is a set of algorithms that generates results without being explicitly instructed.
D) AI is the ability of computers to store large amounts of data.
From a layman's point of view, what does Artificial Intelligence (AI) enable machines to do?
A) Mimic human actions and learn from experiences.
B) Perform only mathematical calculations.
C) Store and retrieve data efficiently.
D) Communicate only with other machines.
Which of the following is an example of an AI application?
A) Chess-playing computers
B) Word processors
C) Basic calculators
D) File compression software
Who is known as the 'Father of computer science' and proposed the 'Turing Test'?
A) Alan Turing
B) John McCarthy
C) Charles Babbage
D) Ada Lovelace
Which step in AI programming involves identifying relationships and representations from past experiences?
A) Learning
B) Reasoning
C) Self-Correction / Improvement
D) Data Storage
In AI programming, what is the purpose of reasoning?
A) To find patterns and extract rules (algorithms) from data
B) To store large volumes of data
C) To improve hardware performance
D) To create visual graphics
Which cognitive skill in AI programming is responsible for continually improving algorithms and correcting mistakes over time?
A) Self-Correction / Improvement
B) Learning
C) Reasoning
D) Data Collection
Which of the following is a mental ability classified under cognitive skills?
Running
Learning
Sleeping
Eating
Who developed ELIZA, one of the first chatbots, in 1966?
John McCarthy
Joseph Weizenbaum
Arthur Samuel
Alan Turing
What was the significance of IBM's Deep Blue in 1997?
It was the first AI-powered virtual assistant.
It defeated chess champion Garry Kasparov.
It introduced the term "Machine Learning."
It launched speech recognition in iPhone app.
Which event in 2016 demonstrated AI's ability to beat a world champion in the game Go?
IBM's Deep Blue defeated Garry Kasparov.
DeepMind's AlphaGo beat Lee Sedol.
Google Brain trained neural nets to recognize cats.
Baidu’s Minwa CNN outperformed humans in image recognition.
In 2014, which AI-powered technology passed state driving tests?
Google Brain neural nets
Baidu’s Minwa CNN
Self-driving car
Amazon Alexa
Which of the following best describes Weak or Narrow AI?
Designed to perform specific tasks within a limited context
Capable of reasoning and decision-making in unfamiliar situations
Aims to resemble the human brain
Demonstrates self-awareness and theory of mind
Which of the following is an example of Weak AI?
Siri
Advanced robotics
Artificial General Intelligence
Self-aware machines
What is a key difference between Weak AI and Strong AI?
Weak AI supports a narrow range of applications, while Strong AI supports a wider range
Weak AI uses clustering techniques, while Strong AI uses supervised learning
Strong AI is only good for specific tasks, while Weak AI has human-level intelligence
Weak AI demonstrates visual perception, while Strong AI does not
Which of the following is NOT a characteristic of Strong AI?
Capable of reasoning and problem-solving
Uses clustering and association techniques to process data
Only performs specific tasks within a limited context
Demonstrates visual perception and language understanding
Strong AI, also known as Artificial General Intelligence (AGI), aims to:
Resemble the human brain
Perform only weather prediction
Respond to user commands like playing a song
Use only supervised learning
Which of the following tasks would most likely require Strong AI rather than Weak AI?
Reasoning and decision-making in unfamiliar situations
Playing a specific song on command
Predicting the weather
Recognizing images
Which of the following statements best describes Strong AI according to the provided material?
Strong AI is currently used in most modern computers.
Strong AI is a near-term reality and will soon be available.
Strong AI exists only in science fiction movies and is not a near-term reality.
Strong AI is less intelligent than human beings.
What is the main purpose of the Turing Test as described in the material?
To measure the speed of a computer.
To determine if a machine can converse with a human in such a way that the human cannot tell if it’s a machine or a person.
To check if a machine can play chess.
To test the memory capacity of a machine.
According to John Searle’s Chinese Room Argument, what is challenged about the Turing Test?
The ability of machines to store data.
The idea that a machine appears intelligent by rule-following but may not actually understand.
The speed at which machines can process information.
The reliability of machines in performing tasks.
Which of the following is a characteristic of reactive machines?
They can store and use past experiences to improve.
They can perform a wide variety of complex tasks.
They are basic machines with no memory to store and cannot use past experiences to determine future actions.
They can permanently store data for future use.
What is a limitation of reactive machines as described in the material?
They can learn from feedback and improve over time.
They can store data for long periods.
They cannot improve with practice and can only perform a limited number of specialized tasks.
They can analyze recent data to make improved decisions.
Why are reactive machines considered more trustworthy and reliable?
Because they can adapt to new situations.
Because they react the same way to the same stimuli every time.
Because they store data permanently.
Because they use advanced reasoning.
What distinguishes limited memory machines from reactive machines?
Limited memory machines can retain data only for a short period and use it temporarily.
Limited memory machines can store data permanently.
Limited memory machines cannot analyze recent data.
Limited memory machines do not use feedback from humans or the environment.
Which of the following is true about Self-Aware AI?
It understands its own existence and state in the world
It only understands thoughts and emotions of others
It is widely used in practical applications today
It cannot respond to user communication
Which of the following statements about Theory of Mind AI and Self-Aware AI is correct?
Theory of Mind AI understands thoughts, emotions, and intentions of others, while Self-Aware AI understands its own existence in addition to others’ thoughts and emotions.
Both Theory of Mind AI and Self-Aware AI only understand their own existence.
Self-Aware AI does not consider others’ emotions.
Theory of Mind AI is already widely implemented in real-world systems.
Why are Theory of Mind AI and Self-Aware AI considered theoretical?
They do not exist in practice yet
They are too simple to be useful
They are only used in games
They are only used for navigation
What is the main difference between Cognitive Computing and Augmented Intelligence?
Cognitive Computing only provides suggestions, while Augmented Intelligence simulates human thinking.
Cognitive Computing focuses on simulating human thinking, while Augmented Intelligence provides suggestions to assist humans.
Both are the same and used interchangeably.
Augmented Intelligence is theoretical, while Cognitive Computing is practical.
Which of the following best defines Machine Learning (ML)?
A process where machines are programmed for every task.
A branch of AI that enables machines to learn from data or experience and make predictions or decisions.
A system that only stores and retrieves data.
A method for manually analyzing data.
What is the main aim of Artificial Intelligence (AI)?
To create intelligent machines that can recognize human speech, have vision to see, assimilate knowledge, strategize and solve problems as humans do.
To create machines that only process data without learning.
To develop systems that only store information.
To build robots that only perform repetitive tasks.
Which statement best describes Machine Learning (ML)?
ML is a subset of AI that provides systems with the ability to automatically learn and improve from data without being explicitly programmed.
ML is a type of AI that only stores data.
ML is a tool for programming robots to walk.
ML is a method for creating human-like emotions in machines.
Which technique would you use for developing a robot that sees, talks, walks, senses, and learns?
Artificial Intelligence (AI)
Machine Learning (ML)
Natural Language Processing (NLP)
Deep Learning (DL)
Which of the following is true regarding the relationship between AI and ML?
AI is the superset and ML is the subset of AI.
ML is the superset and AI is the subset of ML.
AI and ML are completely unrelated fields.
ML is only used for speech recognition.
A Venn diagram showing the relationship between Artificial Intelligence, Machine Learning, Deep Learning, and Natural Language Processing.
A Venn diagram showing the relationship between Artificial Intelligence, Machine Learning, Deep Learning, and Natural Language Processing.
A Venn diagram showing the relationship between Computer Networks, Cybersecurity, Data Mining, and Cloud Computing.
A Venn diagram showing the relationship between Quantum Computing, Blockchain, Robotics, and Augmented Reality.
A Venn diagram showing the relationship between Web Development, Mobile Applications, Operating Systems, and Database Management.
What is a key difference between traditional programming and machine learning programming?
Traditional programming generates output from data and program, while machine learning generates a program from data and output.
Both use the same process to generate output.
Machine learning requires no data.
Traditional programming uses only output to generate data.
What is the main focus of supervised learning in machine learning?
Training models using only input data.
Training models using labeled datasets where both input and output are known.
Training models without any data.
Training models using only output data.
What is a key factor in making accurate predictions with data-driven AI systems?
The availability of large, high-quality, and correctly labeled datasets
The use of outdated technology
Ignoring data and relying on luck
Only using small amounts of data
Which psychologist is known for categorizing human intelligence into multiple distinct forms called the Theory of Multiple Intelligences?
Howard Gardner
Sigmund Freud
Jean Piaget
B.F. Skinner
What is the primary ability associated with Linguistic Intelligence?
To speak, recognize, and use language effectively
To create and appreciate music
To solve mathematical problems
To manipulate spatial information
