Practice 100 Artificial Intelligence MCQs with correct answers covering AI basics, machine learning, deep learning, NLP, and real-world applications. Ideal for exams and interviews. Artificial Intelligence (AI) is transforming the way technology interacts with humans by enabling machines to learn, reason, and make intelligent decisions. From machine learning and deep learning to natural language processing and computer vision, AI plays a vital role in modern applications such as virtual assistants, recommendation systems, healthcare diagnostics, and autonomous vehicles. This collection of 100 Artificial Intelligence MCQs with correct answers is carefully designed to help students, professionals, and beginners strengthen their understanding of AI fundamentals. These multiple-choice questions are ideal for exam preparation, interviews, competitive tests, and self-assessment, making them a valuable resource for mastering the core concepts of artificial intelligence.
Here are 100 MCQs on the topic “Artificial Intelligence (AI)” with correct answers, written clearly and in sequence.
Artificial Intelligence – 100 MCQs with Answers
Basics of Artificial Intelligence
1. What is Artificial Intelligence?
A. Natural intelligence
B. Intelligence shown by machines
C. Human psychology
D. Computer hardware
Answer: B
2. Who is known as the father of Artificial Intelligence?
A. Alan Turing
B. John McCarthy
C. Charles Babbage
D. Bill Gates
Answer: B
3. The term “Artificial Intelligence” was coined in which year?
A. 1945
B. 1950
C. 1956
D. 1965
Answer: C
4. Which of the following is an example of AI?
A. Calculator
B. Voice assistant
C. Printer
D. Scanner
Answer: B
5. AI mainly aims to create machines that can:
A. Store data
B. Think and act like humans
C. Run faster
D. Consume less power
Answer: B
Types of Artificial Intelligence
6. Which type of AI is currently in use?
A. Super AI
B. General AI
C. Narrow AI
D. Self-aware AI
Answer: C
7. Narrow AI is also known as:
A. Strong AI
B. Weak AI
C. Super AI
D. Cognitive AI
Answer: B
8. Which AI can perform any intellectual task like a human?
A. Narrow AI
B. Weak AI
C. Artificial General Intelligence
D. Reactive AI
Answer: C
9. Super AI refers to:
A. Machines equal to humans
B. Machines better than humans
C. Machines slower than humans
D. Machines without learning ability
Answer: B
10. Which AI type does not store past experiences?
A. Limited Memory
B. Reactive Machines
C. Theory of Mind
D. Self-aware
Answer: B
Machine Learning
11. Machine Learning is a subset of:
A. Data Science
B. Artificial Intelligence
C. Statistics
D. Programming
Answer: B
12. Which of the following is NOT a type of Machine Learning?
A. Supervised Learning
B. Unsupervised Learning
C. Reinforcement Learning
D. Manual Learning
Answer: D
13. Supervised learning uses:
A. Unlabeled data
B. Random data
C. Labeled data
D. No data
Answer: C
14. Which algorithm is used in supervised learning?
A. Linear Regression
B. K-means
C. Apriori
D. PCA
Answer: A
15. Unsupervised learning is used to:
A. Predict values
B. Classify labeled data
C. Find hidden patterns
D. Increase speed
Answer: C
Deep Learning & Neural Networks
16. Deep Learning is a subset of:
A. AI
B. Machine Learning
C. Data Mining
D. Statistics
Answer: B
17. Neural Networks are inspired by:
A. Computer architecture
B. Human brain
C. Mathematics
D. Databases
Answer: B
18. The basic unit of a neural network is called:
A. Node
B. Neuron
C. Layer
D. Link
Answer: B
19. Which layer receives input data?
A. Output layer
B. Hidden layer
C. Input layer
D. Processing layer
Answer: C
20. Which activation function is commonly used in deep learning?
A. Linear
B. ReLU
C. Binary
D. Boolean
Answer: B
Natural Language Processing (NLP)
21. NLP deals with:
A. Numbers
B. Images
C. Human language
D. Hardware
Answer: C
22. Which is an application of NLP?
A. Image recognition
B. Speech recognition
C. Data backup
D. Network security
Answer: B
23. Chatbots are examples of:
A. Robotics
B. NLP
C. Computer vision
D. Databases
Answer: B
24. Sentiment analysis is used to:
A. Translate languages
B. Detect emotions in text
C. Encrypt data
D. Compress files
Answer: B
25. Which company developed ChatGPT?
A. Google
B. Microsoft
C. OpenAI
D. IBM
Answer: C
Computer Vision
26. Computer vision deals with:
A. Text data
B. Audio data
C. Image and video data
D. Numeric data
Answer: C
27. Face recognition is an example of:
A. NLP
B. Computer vision
C. Robotics
D. IoT
Answer: B
28. Which AI system is used in self-driving cars?
A. NLP
B. Expert system
C. Computer vision
D. Database system
Answer: C
29. Object detection is used to:
A. Encrypt objects
B. Identify objects in images
C. Store images
D. Compress videos
Answer: B
30. Which field combines AI and image processing?
A. Robotics
B. Computer vision
C. Data science
D. Networking
Answer: B
Expert Systems & Robotics
31. An expert system is designed to:
A. Replace databases
B. Mimic human experts
C. Store data
D. Print reports
Answer: B
32. Expert systems mainly consist of:
A. Hardware and OS
B. Knowledge base and inference engine
C. CPU and memory
D. Input and output devices
Answer: B
33. Robotics is the field of:
A. Data analysis
B. Building intelligent machines
C. Web development
D. Networking
Answer: B
34. Which sensor helps robots to see?
A. Touch sensor
B. Camera
C. Gyroscope
D. Microphone
Answer: B
35. Industrial robots are commonly used in:
A. Hospitals
B. Factories
C. Schools
D. Libraries
Answer: B
AI Applications
36. AI is used in healthcare for:
A. Cooking
B. Disease diagnosis
C. Driving only
D. Printing
Answer: B
37. Which AI application is used in banking?
A. Fraud detection
B. Word processing
C. Video editing
D. Gaming
Answer: A
38. Recommendation systems are used by:
A. Netflix
B. YouTube
C. Amazon
D. All of the above
Answer: D
39. AI in education helps in:
A. Personalized learning
B. Printing books
C. Building classrooms
D. Transportation
Answer: A
40. Virtual assistants like Alexa use:
A. NLP and AI
B. Only hardware
C. Databases only
D. Networking
Answer: A
AI Ethics & Challenges
41. AI ethics deals with:
A. Speed of AI
B. Moral issues of AI
C. Hardware design
D. Software coding
Answer: B
42. Bias in AI occurs due to:
A. Good data
B. Poor training data
C. Fast processors
D. Encryption
Answer: B
43. Which is a major concern of AI?
A. Privacy
B. Security
C. Job displacement
D. All of the above
Answer: D
44. Transparency in AI means:
A. AI decisions are understandable
B. AI is invisible
C. AI is fast
D. AI is cheap
Answer: A
45. Responsible AI focuses on:
A. Profit only
B. Ethical and fair use
C. Hardware cost
D. Marketing
Answer: B
General AI Knowledge
46. Which language is commonly used in AI?
A. Python
B. Java
C. C++
D. All of the above
Answer: D
47. Turing Test is used to:
A. Test hardware
B. Test intelligence of machines
C. Test speed
D. Test memory
Answer: B
48. If a machine passes the Turing Test, it is considered:
A. Fast
B. Intelligent
C. Secure
D. Cheap
Answer: B
49. AI systems learn from:
A. Data
B. Hardware
C. Electricity
D. Screens
Answer: A
50. Big data plays a role in AI by providing:
A. Power
B. Storage
C. Training data
D. Hardware
Answer: C
Advanced & Mixed Concepts
51. Reinforcement learning is based on:
A. Rewards and penalties
B. Labeled data
C. Clustering
D. Regression
Answer: A
52. AlphaGo is an example of:
A. Expert system
B. Game-playing AI
C. Robotics
D. Database system
Answer: B
53. Which company developed AlphaGo?
A. Microsoft
B. IBM
C. Google DeepMind
D. Apple
Answer: C
54. Computer vision uses which data type?
A. Text
B. Images
C. Audio
D. Numbers
Answer: B
55. Which is NOT an AI application?
A. Spam filtering
B. Face recognition
C. Manual typing
D. Chatbots
Answer: C
Future of AI
56. AI is expected to impact which sector most?
A. Healthcare
B. Education
C. Business
D. All sectors
Answer: D
57. Self-driving cars rely on:
A. AI and sensors
B. Manual control
C. Maps only
D. Internet only
Answer: A
58. AI combined with IoT creates:
A. Smart systems
B. Slow systems
C. Manual systems
D. Offline systems
Answer: A
59. AI systems require regular:
A. Painting
B. Training and updates
C. Rebooting
D. Formatting
Answer: B
60. AI cannot replace humans completely because of:
A. Emotions and creativity
B. Speed
C. Storage
D. Cost
Answer: A
Miscellaneous
61. Data used to train AI models is called:
A. Raw data
B. Training data
C. Backup data
D. Secure data
Answer: B
62. Overfitting in AI means:
A. Model performs well on new data
B. Model learns noise instead of pattern
C. Model is too fast
D. Model is too slow
Answer: B
63. Which AI technique mimics human reasoning?
A. Expert system
B. Compiler
C. Database
D. OS
Answer: A
64. AI in games improves:
A. Graphics only
B. Player experience
C. Hardware speed
D. Storage
Answer: B
65. Which AI field focuses on reasoning and decision-making?
A. Robotics
B. Expert systems
C. NLP
D. Vision
Answer: B
Final Set
66. AI models improve by:
A. Ignoring errors
B. Learning from feedback
C. Deleting data
D. Restarting
Answer: B
67. Which is an example of weak AI?
A. Human brain
B. Calculator app
C. General AI
D. Super AI
Answer: B
68. AI-powered systems are widely used in:
A. Search engines
B. Social media
C. Online shopping
D. All of the above
Answer: D
69. AI decision-making is based on:
A. Guessing
B. Algorithms and data
C. Random choice
D. Human emotions
Answer: B
70. Which is NOT a challenge of AI?
A. Data quality
B. Ethical concerns
C. Unlimited emotions
D. High cost
Answer: C
71. AI is interdisciplinary because it involves:
A. Computer science only
B. Psychology only
C. Multiple fields
D. Mathematics only
Answer: C
72. AI systems require which resource the most?
A. Data
B. Paper
C. Ink
D. Furniture
Answer: A
73. AI is also known as:
A. Machine intelligence
B. Natural intelligence
C. Biological intelligence
D. Emotional intelligence
Answer: A
74. AI algorithms are written using:
A. Logic and mathematics
B. Art
C. Music
D. Drawing
Answer: A
75. Which AI application translates languages?
A. Google Translate
B. Excel
C. Paint
D. Notepad
Answer: A
76. AI-powered fraud detection is used in:
A. Banking
B. Healthcare
C. Education
D. Agriculture
Answer: A
77. AI models can make mistakes due to:
A. Perfect data
B. Biased data
C. High speed
D. Encryption
Answer: B
78. AI learns patterns from:
A. Repetition
B. Data analysis
C. Guessing
D. Formatting
Answer: B
79. Which is an AI-powered search engine?
A. Google
B. Yahoo
C. Bing
D. All of the above
Answer: D
80. AI helps businesses by:
A. Increasing efficiency
B. Reducing costs
C. Improving decisions
D. All of the above
Answer: D
81. Which AI concept focuses on understanding human emotions?
A. NLP
B. Affective computing
C. Robotics
D. Vision
Answer: B
82. AI is NOT capable of:
A. Learning from data
B. Making predictions
C. Human emotions
D. Pattern recognition
Answer: C
83. Which AI technique is used in spam filters?
A. Machine learning
B. Robotics
C. Databases
D. Networking
Answer: A
84. AI-based voice recognition uses:
A. NLP
B. Computer vision
C. Robotics
D. IoT
Answer: A
85. Which AI system suggests products online?
A. Expert system
B. Recommendation system
C. Database system
D. Network system
Answer: B
86. AI improves cybersecurity by:
A. Creating viruses
B. Detecting threats
C. Deleting files
D. Slowing networks
Answer: B
87. Which is an AI-powered image tool?
A. Photoshop
B. Google Lens
C. Notepad
D. WordPad
Answer: B
88. AI requires ethical guidelines to:
A. Increase profits
B. Prevent misuse
C. Speed up systems
D. Replace humans
Answer: B
89. AI-driven automation mainly reduces:
A. Data
B. Manual effort
C. Accuracy
D. Quality
Answer: B
90. AI is shaping the future by:
A. Replacing all humans
B. Assisting humans
C. Stopping technology
D. Limiting innovation
Answer: B
91. AI-based chatbots are used for:
A. Customer support
B. Gaming only
C. Printing
D. Storage
Answer: A
92. AI can analyze data:
A. Slower than humans
B. Faster than humans
C. Same as humans
D. Not at all
Answer: B
93. AI improves decision-making by:
A. Guessing
B. Data-driven insights
C. Emotions
D. Opinions
Answer: B
94. AI-powered facial recognition raises concerns about:
A. Speed
B. Privacy
C. Storage
D. Design
Answer: B
95. Which AI technology enables smart homes?
A. AI + IoT
B. AI + LAN
C. AI + WAN
D. AI + MAN
Answer: A
96. AI systems should be:
A. Uncontrolled
B. Transparent and fair
C. Hidden
D. Random
Answer: B
97. AI improves healthcare by:
A. Automating diagnosis
B. Predicting diseases
C. Assisting doctors
D. All of the above
Answer: D
98. AI cannot function properly without:
A. Data
B. Electricity
C. Humans
D. Hardware
Answer: A
99. AI-based systems continuously improve through:
A. Practice and learning
B. Deletion
C. Guessing
D. Formatting
Answer: A
100. The future of AI focuses on:
A. Ethical and responsible use
B. Total automation
C. Human elimination
D. Manual systems
Answer: A
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