Can AI Evolve?

Can AI Evolve?

Assessment

Interactive Video

Science, Information Technology (IT), Architecture

11th Grade - University

Hard

Created by

Quizizz Content

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The video explores the capabilities and limitations of AI, highlighting its success in complex tasks like chess and Go, but its struggle with basic skills due to Moravec's paradox. It discusses the evolution of AI, neural networks, and the challenges of catastrophic forgetting. The video also covers reinforcement learning and the importance of curiosity in AI development, using examples like video games and self-modeling. Finally, it emphasizes the need for a deeper understanding of human cognition to advance AI.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Moravec's Paradox in the context of AI development?

AI can easily perform complex tasks but struggles with simple ones.

AI can recognize faces but not objects.

AI can learn languages but not mathematics.

AI can solve puzzles but not play games.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

According to Hans Moravec, what is a more effective approach to developing AI?

Building AI from the top down.

Mimicking the evolutionary process.

Programming AI to perform specific tasks.

Focusing solely on neural networks.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do neural networks improve their performance over time?

By using more powerful computers.

By copying human brain structures.

By strengthening connections through practice.

By increasing the number of neurons.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is 'catastrophic forgetting' in neural networks?

The failure to recognize patterns.

The loss of previously learned information when learning new data.

The inability to learn new tasks.

The inability to process large datasets.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which technique helps AI systems learn from more than just examples?

Unsupervised learning.

Supervised learning.

Reinforcement learning.

Transfer learning.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How did researchers teach AI to be curious using video games?

By rewarding it for correct predictions.

By rewarding it for being surprised.

By punishing it for wrong moves.

By providing it with unlimited data.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the outcome of the robot arm experiment conducted by Columbia University?

The arm required constant human supervision.

The arm failed to recognize its own structure.

The arm learned to adapt to changes and perform tasks independently.

The arm could only perform pre-programmed tasks.