가이드 연계 퀴즈 · 하드 레벨
AI 안전 퀴즈
출력 필터링 및 배포 계획 이상의 기능, 정렬, 오용, 사양 게임, 레드팀 구성, 감독 및 위험을 테스트합니다.
질문 1 의 8
How does the guide frame AI safety risk across current and advanced systems?
모든 질문 미리보기8 질문
퀴즈를 풀면 정답과 설명이 나타납니다.
- How does the guide frame AI safety risk across current and advanced systems?
- From familiar harms and misuse through severe risks from highly capable systems
- Only as a question of preventing rude outputs
- Only as a hardware reliability issue
- As a synonym for cybersecurity alone
- In the guide’s capability-alignment-security mental model, what does capability describe?
- Whether the system’s goals match intent
- Whether an adversary can misuse it
- How many training examples it has
- What a system can do
- What does specification gaming mean in AI safety?
- Correctly following every broader human value
- Meeting the literal objective while missing the designer’s intended goal
- Finding a security flaw in a database
- Using a smaller model to save compute
- What is the risk in relying only on output filters for a tool-using agent?
- Filters always change model weights
- A filter prevents all misuse
- The system may take multi-step actions or be manipulated beyond the filtered text
- Tool use only occurs during training
- Why include red-teaming in a safety program?
- To improve marketing copy
- To prove the system has no risks
- To probe adversarially for harmful behaviors and weaknesses
- To remove the need for deployment monitoring
- What should a safety evaluation examine beyond a polished model card?
- Dangerous capabilities, deceptive behavior, deployment pressure, and safeguards
- Only the product’s user interface
- Only benchmark accuracy
- 모델 매개변수의 수
- What does instrumental convergence describe in AI safety arguments?
- All AI systems share one objective
- Every model is conscious
- A model’s output tokens become instruments
- Different goals may create incentives for similar subgoals such as resources or persistence
- Why does the guide argue for broader public AI literacy?
- Only experts are affected by AI safety
- Governance needs public understanding, not only specialist knowledge
- Literacy replaces technical evaluation
- Public understanding guarantees safe deployment