재난 대응 퀴즈의 AI

퀴즈를 풀면 정답과 설명이 나타납니다.

1. What does Google's Flood Hub provide to its users?
   • A guarantee that every flood is predicted perfectly
   • Model-based flood forecasts and related location-specific information
   • Physical flood barriers constructed by software
   • Automatic confirmation of every social-media report
2. AI 시스템은 일반적으로 재해 발생 후 건물 손상을 어떻게 매핑합니까?
   • 주민 한 명 한 명을 인터뷰하여
   • 뉴스에서 추측해서
   • 전화 통화 횟수를 계산하여
   • 전후 이미지를 비교하여 변화 감지를 통해
3. What modeling approach is central to the GraphCast weather-forecasting study?
   • A graph neural network trained for global weather forecasting
   • A rule that no weather observations are needed
   • A speech-only transcription model
   • A guarantee of identical performance on every hazard and machine
4. 재해 대응 모델이 새로운 사건으로 인해 어려움을 겪는 이유는 무엇입니까?
   • 재난이 너무 흔하다
   • 그들은 여름에만 일해요
   • 과거 사건에 대해 훈련된 모델은 새로운 사건으로 일반화되지 않을 수 있습니다.
   • 훈련 데이터가 필요하지 않습니다.
5. What disaster-information function did the AIDR project demonstrate for microblog messages?
   • Guaranteed automatic verification of every message's location and truth
   • Prediction of all future earthquakes from punctuation
   • Replacement of every responder's decision with a text label
   • Supervised classification of crisis-related messages using labeled examples
6. Why should a disaster-information workflow account for communication and power dependencies?
   • Every network is guaranteed to remain available during an event
   • Infrastructure disruptions can prevent the workflow from receiving or sharing needed data
   • Power supply never affects communication equipment
   • A model's confidence restores damaged infrastructure automatically
7. What should a crisis-message classification label establish by itself?
   • That the claimed need is definitely current and verified
   • That every reported location has been measured precisely
   • Only the model's classification, with the post's time, location, and factual support still needing assessment
   • That the message must be genuine because it contains a disaster keyword
8. Why is a difference between pre- and post-event satellite images not automatically proof of building damage?
   • Image timing, alignment, visibility, and other scene changes can also affect the comparison
   • Every changed pixel has exactly one possible cause
   • The image file extension establishes a physical damage class
   • No post-event image can contain any useful evidence