
Artificial Intelligence and Bias
Authored by CRISTIN GRIFFIN
Computers
9th Grade
Used 2+ times

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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What drew the author to computer science?
The ability to code
The detachment from real-world problems
The opportunity to make cool technology
All of the above
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was the author's project during their first semester at MIT?
Creating an AI mirror
Developing computer vision software
Building art projects
Studying science fabrication
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What issue did the author face with their mirror project?
The mirror didn't inspire them
The computer vision software didn't work well
The camera didn't track their face properly
The lighting conditions were poor
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What did the author discover about the data sets used to train facial recognition algorithms?
They were diverse and inclusive
They contained majority men and lighter-skinned individuals
They were accurate and unbiased
They were irrelevant to the algorithm's performance
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main concern regarding bias in artificial intelligence?
It can lead to skewed results
It can cause technology to malfunction
It can hinder the progress of AI
It can create social inequalities
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the definition of narrow AI?
AI that is limited to specific tasks
AI that can think like a human being
AI that is based on science fiction
AI that is capable of self-learning
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What did the people at the Dartmouth math department in 1956 decide about intelligence?
Intelligence is demonstrated by the ability to play games
Intelligence is defined by human-like thinking
Intelligence is based on mathematical algorithms
Intelligence is a combination of various skills
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