AI Basics Quiz: What Do You Actually Know About AI?

What is 'hallucination' in the context of AI?

When AI becomes confused and stops responding to questions When AI produces visual hallucinations or images instead of text When AI generates plausible-sounding but factually incorrect information — because the model predicts likely text, not verified facts Hallucination is a technical term for when AI models become overloaded and crash

Which of the following is the correct relationship between AI, machine learning, and generative AI?

Generative AI came before machine learning, which came before AI Machine learning and generative AI are the same thing with different names AI is only about robots; machine learning is about software; generative AI is a marketing term Generative AI is a type of machine learning, which is a type of AI — they are nested categories, not separate things

What is the '80/20 trap' in AI adoption?

AI can only be used for 20% of any professional's tasks; 80% must remain fully human AI handles 80% of a task well but fails at the remaining 20% in ways requiring human correction — making autonomous completion risky, but AI-assisted draft work highly valuable Only 20% of AI tools are reliable; 80% are experimental and should not be used at work AI tools cost 80% more than traditional software and deliver only 20% of the value

Why is 'Artificial Intelligence' considered a misleading name by many researchers?

The name is misleading because AI is more intelligent than humans in every domain There is no controversy about the name — it accurately describes how the systems work AI is misleading because the system is not artificial — it uses real human data AI systems don't think or understand — they perform sophisticated pattern recognition and statistical prediction, which produces human-seeming outputs without human-like comprehension

How did the relationship between users and AI change with generative AI tools like ChatGPT?

Users lost control — AI now makes all decisions without user input The relationship didn't change — generative AI works the same way as recommendation algorithms Users became more passive — generative AI automates everything without requiring input Users shifted from passive recipients of AI decisions (algorithms deciding what you see) to active operators directing AI to produce content and analysis on their behalf