Module 1: Introduction and Applications of AI
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In this post, I provide accurate answers and detailed explanations for Module 1: Introduction and Applications of AI of Course 1: Introduction to Artificial Intelligence (AI) – IBM Generative AI Engineering Professional Certificate
Whether you’re preparing for quizzes or brushing up on your knowledge, these insights will help you master the concepts effectively. Let’s dive into the correct answers and detailed explanations for each question.
Graded: What is AI? Applications and Examples of AI
1. Which of the following is NOT a good way to define Al?
- Al is the use of algorithms that enable computers to find patterns without humans having to hard code them manually
- Al is the application of computing to solve problems in an intelligent way using algorithms.
- Al is all about machines replacing human intelligence. ✅
- Al is Augmented Intelligence and is not intended to replace human intelligence rather extend human capabilities
Explanation: AI involves augmenting and extending human intelligence, not solely replacing it.
2. Which of the following is an attribute of Strong or Generalized Al?
- Operate with human-level consciousness
- Perform independent tasks ✅
- Cannot teach itself new strategies
- Can perform specific tasks, but cannot learn new ones
Explanation: Strong AI can teach itself new strategies and solve diverse problems.
3. Al is the fusion of many fields of study. Which of these fields, along with Computer Science, plays a role in the application of Al?
- All responses are correct ✅
- Philosophy
- Statistics
- Mathematics
Explanation: These fields collectively guide AI’s ethical, mathematical, and statistical foundations.
4. Which of these is NOT a current application of Al?
- Collaborative Robots helping humans lift heavy containers
- Self-Driving vehicles utilizing Computer Vision to navigate around objects
- Classifying rock samples to identify best places to drill for oil
- Making precise patient diagnosis and prescribing independent treatment ✅
Explanation: AI supports doctors but does not independently replace their role in patient interactions.
5. Natural Language Al algorithms that learn by example are the reason we can talk to machines and they can talk back to us.
- True ✅
- False
Explanation: Natural Language Processing and Generation enable this interaction.
6. Advances in the field of Computer Vision make which of the following possible?
- Detecting fraudulent transactions
- Detecting cancerous moles in skin images ✅
- On-demand online tutors
- Real-time transcription
Explanation: Computer Vision aids in medical diagnostics, such as analyzing skin images for cancer.
7. Which of these is currently NOT an application of Collaborative Robots or Cobots?
- Robots helping move items on shelves for stocking purposes
- Personal use in the home such as doing the laundry and cooking for example ✅
- Robots helping humans lift heavy containers
- Robots assisting or replacing humans in jobs that may be dull, dangerous, ineffective or inefficient when done by humans
Explanation: Collaborative robots are not yet widely used for independent personal tasks in homes.
8. Which of the following aspects involved in converting the stethoscope into a digital device to support patient diagnoses involves the use of Al?
- Inserting a digitizer into the stethoscope tube to convert the analog sound of the heart beat into a digital signal
- Graphing heart beat data on the mobile device allowing a physician to spot trends
- Sending digital signals to a mobile device with a machine learning app via bluetooth
- An app on the mobile device that applies learnings from previous diagnosis data to assist the physicians in their current diagnoses ✅
Explanation: Machine learning algorithms in the app analyze data to support diagnoses.
9. Which of the following are applications of Artificial Intelligence in action? A. IBM Watson utilizing its information retrieval capabilities to provide technical information to oil and gas company workers. B. Watson analyzing Grammy nominated song lyrics over a 60-year period and categorizing them based on their emotions. C. Assisting patients with neurological damage by detecting patterns in massive movement related datasets and using robots to trigger specific movements in the human body to create new neural pathways in the brain. D. Law enforcement authorities using facial recognition algorithms to identify suspects in multiple streams of video footage
- Only option A is correct
- Only options A, B, and C are correct
- None of the options are correct
- All of the options are correct ✅
Explanation: Each example showcases practical applications of AI across industries.
10. Which of the following is NOT a way that Al learns?
- Intuitive learning ✅
- Reinforcement learning
- Unsupervised learning
- Supervised learning
Explanation: AI learns through Supervised, Unsupervised, and Reinforcement Learning methods, but not through intuitive learning.
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