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

Even the most capable AI models in 2026 cannot do which of the following?

Produce grammatically correct text in English Write code that executes correctly in common programming languages Summarize a long document into key bullet points Reliably verify whether their own output is factually correct — models can produce false information with the same confidence as true information

Which of the following tasks is AI MOST reliable at?

Accurately citing a specific legal case from last month — AI has knowledge cutoffs and hallucination risk with specific facts Producing a well-structured first draft of a professional email — AI draws on vast writing patterns and excels at fluent, structured text generation Telling you whether a news article published yesterday is accurate — AI can't verify real-world current facts Calculating the exact compound interest on a complex loan schedule — mathematical precision is a known AI weakness

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

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

What is AI 'hallucination'?

When AI becomes confused and stops generating responses When AI generates plausible-sounding but factually incorrect content — stated confidently, without any signal to the user that the information may be wrong When AI produces visual artifacts or distorted images When AI translates text incorrectly because it doesn't know the language

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 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 Users became more passive — generative AI automates everything without requiring input