Neural Networks
What are neural networks inspired by?
The human brain.
What does NLP stand for?
Natural Language Processing.
Name one device that uses AI voice recognition.
Smart speaker / phone assistant.
What is AI bias?
Unfair results caused by biased training data.
Who is better at recognizing emotions?
Humans.
What is the job of hidden layers?
To process and analyze information step by step.
What is the main goal of NLP?
Helping computers understand human language.
What type of AI recommends movies on Netflix?
Machine learning / pattern recognition.
What is an AI “hallucination”?
When AI gives confident but wrong information.
Who is better at analyzing millions of images quickly?
AI.
What happens if a neural network has more layers?
It can learn more complex patterns.
Why do chatbots sometimes give wrong answers confidently?
They predict patterns, not true understanding.
What AI helps translate languages instantly?
NLP AI.
Why can AI never be perfectly fair?
It learns from imperfect human data.
Who is better at creative thinking?
Humans.
Why does a neural network need training data?
To learn patterns and make predictions.
What does “attention” help AI do?
Focus on important words in a sentence.
What AI helps detect spam emails?
Machine learning classification.
What happens if training data is too small?
AI makes more mistakes.
Who is better at learning from massive data?
AI
If a neural network only trains on cat pictures, what will it struggle with?
Recognizing other animals.
Why is sarcasm hard for AI?
It depends on context and hidden meaning.
A self-driving car learns from thousands of pictures so it can tell the difference between a pedestrian, a stop sign, and a tree.
What skill of AI is this?
Pattern recognition from data.
What is the biggest danger of AI chatbots?
Spreading misinformation.
Who is better at understanding context deeply?
Humans