TED: Machine intelligence makes human morals more important | Zeynep Tufekci
Interactive Video
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Information Technology (IT), Architecture
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11th Grade - University
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Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What ethical concern did the speaker face when choosing a career in computer science?
The complexity of programming languages
The potential for computers to replace human jobs
The ethical implications of nuclear weapons
The lack of job opportunities in the field
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key difference between traditional programming and machine learning?
Traditional programming uses probabilistic logic
Machine learning operates on probabilistic logic
Traditional programming is more flexible
Machine learning requires no data input
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How do machine learning systems potentially amplify biases?
By focusing only on numerical data
By using outdated data
By reflecting and amplifying human biases
By ignoring human input
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a potential risk of using machine learning in hiring processes?
It can lead to more diverse workplaces
It can eliminate all biases
It may unknowingly exclude certain groups
It guarantees the best candidates are hired
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was a significant issue with the algorithm used in parole and sentencing decisions?
It was too transparent
It was biased against certain groups
It was too expensive to implement
It was universally accurate
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the term 'math washing' refer to?
Using math to clean data
Hiding biases behind mathematical models
Improving algorithms with math
Using math to simplify programming
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a challenge with machine learning systems when they make errors?
They are always predictable
They can make unexpected errors
They resemble human errors
They are easily fixed
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