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Intro to AI review Flashcards | StudBud
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Intro to AI review
Intro to AI review
21 terms
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Flashcards
21 cards
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Questions
21
Answers
1
AI can be both biased and inaccurate, but even imperfect AI systems can be useful.
True
False
2
A constraint is a restriction that limits an idea
False
True
3
Prediction: an answer with no basis.
False
True
4
Data: any form of recorded information
True
False
5
Artificial Intelligence is the intelligence of . . .
Computers
Machines
People
Fake People
6
Which of the following is an example of biometric security?
Iris scanner
RFID tags
Swipe cards
Keypads
7
At present, Artificial Intelligence (AI) can do all of the following except:
Predict customer preferences based on past shopping history
Act as a translator, in real time
Help to diagnose diseases by analyzing medical images
Read a human’s mind and emotion
8
Artificial Intelligence is
A simulation of human intelligence processes by machine
A field of psychology
A web based platform for learningcourse
Non digitalized approach that mimic human intelligence
9
Who voices Jarvis, Iron Man's artificially intelligent assistant?
Eddie Redmayne
Ewan McGregor
Simon Pegg
Paul Bettany
10
AI finds patterns in data and works best with lots and lots of data.
True
False
11
Algorithm: a set of rules used to solve a problem.
True
False
12
A problem statement is a brief description of an issue that a project aims to address.
True
False
13
Recommendation systems use AI to make recommendations to users.
False
True
14
The Soviet Union sent the first artificial satellite, Sputnik, into space.
False
True
15
What is biometrics?
A human physical way of securing and authorizing
An animated version of the "Matrix" using elephants
A human physical way of operating a computer
Robotics integrated into a human
16
Model: a representation of a real-world decision-making or problem-solving process.
False
True
17
Unit 1.3: Which of the following is not an example of biometrics?
fingerprint
DNA tagging
ID card
voice patterns
18
Holograms are an example of Artificial Intelligence.
True
False
19
Limited or poor quality data can lead to biased AI: AI that works differently for different groups of people
True
False
20
AI can absorb biases from the real world, and companies and governments must take responsibility for those biases.
False
True
21
A feature is a measurable piece of data that can be used by an AI to make a decision
True
False
