David Ferrucci on the Future of Artificial Intelligence
Interactive Video
•
Computers
•
9th - 12th Grade
•
Practice Problem
•
Hard
Wayground Content
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary concern about AI's role in society as discussed in the introduction?
AI will replace all human jobs.
AI will only mimic human biases.
AI will never be able to learn.
AI will become self-aware.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key advantage of neural networks in AI?
They require extensive programming.
They are limited to simple tasks.
They can learn from examples without explicit programming.
They are only useful for image recognition.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How do neural networks differ from traditional regression models?
They are less accurate than regression models.
They require more data than regression models.
They can find complex, non-linear relationships.
They only find linear relationships.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was a significant achievement of Watson in the field of AI?
Solving complex mathematical problems.
Beating top Jeopardy players.
Winning a chess tournament.
Creating original art.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a major limitation of current language AI systems?
They cannot process large datasets.
They rely on statistical probabilities rather than true understanding.
They can only understand simple sentences.
They require human intervention for every task.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the personal story about the speaker's father, what was the main issue with the medical diagnosis?
The doctors refused to provide any diagnosis.
The diagnosis relied solely on statistical probabilities.
The diagnosis was based on outdated technology.
The diagnosis was made without any data.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is explainability important in AI, according to the speaker?
It reduces the cost of AI development.
It makes AI systems more efficient.
It allows humans to understand and take responsibility for AI decisions.
It helps AI systems to learn faster.
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