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

Which of the following describes a realistic and high-value use of AI in 2026?

Using AI to replace all written communication with a client without any human involvement Delegating an entire client project to an AI agent with no human review of outputs Using AI to produce a first draft of a client proposal, then editing it with domain knowledge and relationship context the AI doesn't have Using AI to make final legal or medical decisions without a professional reviewing them

For which type of task would AI hallucination risk be LOWEST?

Describing a competitor's product features from their latest press release Looking up the exact revenue of a private company last quarter Finding the specific statute number of a regulation passed in 2025 Brainstorming a list of marketing tagline ideas — there are no 'correct' facts to get wrong; creativity and fluency are the objective

What happens when a conversation exceeds an AI's context window limit?

Exceeding the context window triggers an automatic upgrade to a larger model The AI loses access to text that falls outside the window — it effectively 'forgets' earlier parts of the conversation and may give inconsistent responses The AI stops responding and requires a new conversation to be started The AI stores the overflow in external memory and retrieves it when needed

What is 'hallucination' in the context of AI?

When AI becomes confused and stops responding to questions Hallucination is a technical term for when AI models become overloaded and crash 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

What is the key difference between 'narrow AI' and 'general-purpose AI'?

Narrow AI is for small companies; general-purpose AI is only for enterprise use Narrow AI runs on phones; general-purpose AI requires large servers Narrow AI is cheaper; general-purpose AI is always more expensive per use Narrow AI is designed for one specific task (spam filtering, recommendations); general-purpose AI handles many different tasks through a single model that users direct with language