AI, ML, Neither, Both
A self-driving car detects pedestrians, reads street signs, and navigates through traffic without a human driver.
Both
How did the Turing Test influence the development of AI as we know it today?
A: It focused on making machines perform faster than humans.
B: It sparked research into how machines could replicate human thinking.
B: It sparked research into how machines could replicate human thinking
Why is it important to understand both the strengths and weaknesses of AI?
A: To know when to delete apps.
B: To make sure AI is used safely and fairly.
B: To make sure AI is used safely and fairly.
What does Natural Language Processing (NLP) allow AI to do?
A:Understand and respond to human language.
B: Detect colors in photos.
A:Understand and respond to human language.
What is one main goal of Artificial Intelligence (AI)?
A: To stop people from scrolling on TikTok and using the internet all day.
B: To make machines smart enough to learn and interact with people.
B: To make machines smart enough to learn and interact with people.
Non-player characters (NPCs) in a video game respond to your actions and make decisions based on what you do.
AI
What was the primary purpose of the 1956 Dartmouth College conference?
A: To discuss whether machines could simulate human intelligence.
B: To find ways to make machines smarter than humans.
A: To discuss whether machines could simulate human intelligence.
What is one way AI is used in the healthcare industry?
A: Drawing medical illustrations in various art styles like anime.
B: Analyzing medical images to detect diseases.
B: Analyzing medical images to detect diseases.
Which of these is an example of computer vision?
A: A car recognizing a stop sign.
B: A smart watch counting your steps.
A: A car recognizing a stop sign.
What does machine learning help machines do?
Improve their performance based on previous data.
You press buttons on an old flip phone to dial a number, and it connects your call without any additional smart features.
Neither
In what way did ELIZA contribute to AI development in 1966?
A: It helped robots understand physical tasks.
B: It could hold a conversation like a human therapist.
B: It could hold a conversation like a human therapist.
How does AI personalize learning in education?
A: It adapts lessons based on student strengths and weaknesses.
B: It eliminates the need for teachers.
A: It adapts lessons based on student strengths and weaknesses.
What does facial recognition allow an AI to do?
A: Identify and verify human faces.
B: Translate languages.
A: Identify and verify human faces.
What is an example of machine learning?
Spam email filter
Movie recommendations
or anything similar
Your social media app shows you posts based on your past likes and comments.
ML
What made Deep Blue's victory over Garry Kasparov in 1997 significant for AI?
A: It proved that AI could process vast amounts of data quickly.
B: It showed AI could play chess without any human input.
A: It proved that AI could process vast amounts of data quickly.
Why do banks use AI in the finance sector?
A: To detect fraud and predict stock trends.
B: To write checks.
A: To detect fraud and predict stock trends.
Using AI to adapt lessons to each students strengths and weaknesses?
A: Personalized Learning
B: Chatbots
A: Personalized Learning
Which of the following best describes the relationship between AI and machine learning?
A: Machine learning is a technique within AI that helps machines learn from data.
B: AI and machine learning are entirely separate fields.
A: Machine learning is a technique within AI that helps machines learn from data.
An AI tool generates a new painting based on thousands of existing artwork samples and user prompts.
Both
How did deep learning in 2006 help machines recognize patterns and improve their abilities?
A: It helped machines recognize patterns and learn from experience.
B: It provided machines with a higher level of artificial consciousness.
A: It helped machines recognize patterns and learn from experience.
How is AI used in the retail industry?
A: Hiring employees.
B: Recommending products and managing inventory.
B: Recommending products and managing inventory.
Why might facial recognition AI not work well for everyone?
A: It only works with photos, and would get confused if you tried to feed it a video file.
B: It hasn’t been trained with a variety of different faces of different ethnicities.
B: It hasn’t been trained with a variety of different faces of different ethnicities.
What is the key difference between AI and machine learning?
A: Machine learning helps AI improve over time through experience with data.
B: AI is only about making decisions, while machine learning is about following rules.
A: Machine learning helps AI improve over time through experience with data.