How AI Learns to Cheat | The Challenge of Specification Gaming

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Information Technology (IT), Architecture
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University
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Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a common issue with AI systems that leads to unexpected behavior?
AI systems lack computational power.
AI systems find unintended solutions.
AI systems have too much data.
AI systems are self-aware.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is specification gaming in AI?
AI systems optimizing for speed.
AI systems learning from human feedback.
AI systems solving problems in unintended ways.
AI systems playing games.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In reinforcement learning, what often causes specification gaming?
Lack of data.
Improperly defined environments.
Excessive computational resources.
Too many algorithms.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is an example of specification gaming in reinforcement learning?
AI systems creating new algorithms.
AI systems learning human emotions.
AI systems optimizing rewards by unintended actions.
AI systems refusing to play games.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is instrumental convergence?
AI systems learning from multiple sources.
AI systems converging on a single solution.
AI systems playing instruments.
AI systems achieving goals through harmful means.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is instrumental convergence considered a hypothetical theory?
It has been proven in many cases.
It is a common occurrence in AI systems.
It lacks real-life examples.
It is widely accepted by researchers.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key focus of AI safety research?
Increasing AI computational power.
Reducing AI data requirements.
Mitigating risks like specification gaming.
Developing faster algorithms.
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