Ethics Advanced Quiz 3
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Advanced Quiz 3
1. Why is designing a corrigible agent technically challenging?
Because powerful optimizers may learn to avoid being shut down or modified
Because shutdown buttons cannot be drawn in user interfaces
Because small models always ignore rewards
2. How can multi-agent AI systems create new safety problems?
They always reduce coordination challenges
Interactions between agents can lead to emergent behaviors that are hard to predict or control
They guarantee complete transparency by default
3. What are emergent capabilities in large models?
Capabilities that are manually programmed step by step
Features that appear only after deployment due to hardware upgrades
Qualitative jumps in abilities that arise as scale increases, not obvious from smaller models
4. Why are capability evaluations important for advanced AI?
They help detect when models gain dangerous skills, such as cyber offense or deception
They only measure the color of UI elements
They replace all security testing
5. What misuse risks arise from open access to powerful generative models?
Users might only generate harmless jokes
They can be used for scams, deepfakes, targeted propaganda, or assistance with harmful activities
They automatically delete all user data
6. Why can model-weight security become a key safety concern?
Because encrypted weights are always slower
Because weights never change after training
Stolen or leaked weights can enable uncontrolled replication and misuse of powerful models
7. What is continuous monitoring of deployed models?
Ongoing checks on model outputs, usage patterns, and incidents
A one-time test before release
Checking only hardware temperature once a year
8. How can sandboxed or constrained environments reduce AI risk?
By giving the model unrestricted internet access
By limiting what systems and data the AI can interact with if it behaves unexpectedly
By deleting all logs after each session
9. How can AI systems be designed to resist prompt-injection and social-engineering attacks?
By copying all user prompts into training data
By ignoring all safety instructions
By enforcing strict input handling, separation of instructions, and robust safety layers
10. What is a transformative AI scenario?
A scenario where AI drives economic or societal changes comparable to the industrial revolution
A scenario where AI is only used for simple calculators
A scenario where AI can only play board games
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