Quiz sur l'IA dans les interventions en cas de catastrophe

Les réponses et les explications apparaissent au fur et à mesure que vous répondez au quiz.

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. Comment les systèmes d’IA cartographient-ils généralement les dommages aux bâtiments après une catastrophe ?
   • En interrogeant chaque résident
   • En devinant d'après les nouvelles
   • En comptant les appels téléphoniques
   • Par détection des changements en comparant les images avant et après
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. Pourquoi les modèles de réponse aux catastrophes peuvent-ils avoir du mal à faire face aux nouveaux événements ?
   • Les catastrophes sont trop fréquentes
   • Ils ne travaillent qu'en été
   • Les modèles formés sur des événements passés ne peuvent pas être généralisés à des événements nouveaux
   • Ils ne nécessitent aucune donnée de formation
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