Is this AI? See if you can spot the technology in your everyday life.

We’ll start with an easy one. The viral chatbot responds to a user’s prompt by systematically churning out words, producing a surprisingly coherent but not always accurate reply.

Most experts said that the tool is definitely AI, Things are about to get even murkier.

Most experts said auto-correct could be considered artificial intelligence, and many said it definitely is AI.

Earlier versions of auto-correct guessed what you meant to type by comparing the locations of the keys you pressed with a dictionary of popular words. But the latest versions also consider the context surrounding a word to better predict what you meant, using the same technique at the core of chatbots. Hint: You’ll see this technology again.

Not quite. No expert considered tap-to-pay credit cards to be AI. The system uses radio waves to transmit payment information. It sure seems fancy, but it’s not AI.

Eleven of 16 experts surveyed said Google Translate is definitely AI.

Modern translation services don’t simply look up words in a dictionary and return the foreign language match. Rather, the system uses terabytes of multilingual data to build a model of connections between words and their context.

Sound familiar? This technique, called a transformer model, also underlies chatbots and recent auto-correct systems. It provides a more natural, though not always accurate, translation.

A majority of experts felt it could be AI.

The defining feature of artificial intelligence is that “behavior is learned from data rather than explicitly programmed,” said Matthew Carrigan, a machine-learning engineer at Hugging Face.

For a non-AI approach, a programmer might write specific rules, like, “If a user is a 30-year-old male, show them sports ads.” But AI uses machine learning to create its own rules by analyzing large amounts of data. This enables incredibly specific connections, but it can be difficult to understand how a program drew its conclusions.

You’re not alone. Few experts today definitely consider video game opponents to be AI.

Chess has long been a proving ground for AI research. AI researchers often test programs through games because they have well-defined rules with clear victors and losers.

In 1980, a Carnegie Mellon professor offered a $100,000 prize for the first computer program to defeat a world chess champion. Seventeen years later, IBM’s Deep Blue beat Garry Kasparov, cementing its place in the history of artificial intelligence.

Beating a world chess champion is no longer impressive. Today’s chess engines dominate all human players.

Turn-by-turn navigation uses a defined set of instructions to search though a database of road networks to quickly find the best route.

How much that route-finding technique just carries out preset rules left experts divided on whether GPS could be considered AI. You said

The majority of experts consider facial recognition software to definitely be AI, but you said

The technology maps the precise geometry of people’s facial features. Facial recognition has prompted concern from privacy experts as its use is adopted by governments, especially because the technology is less accurate at identifying people with darker skin.

Apple’s Face ID feature, which lets users unlock their devices by looking at them, projects infrared dots on a face and uses a neural network — a mathematical system that acts like a computerized brain — to determine whether the face matches.

You’re in the minority on this one. Most experts said Clippy is not AI, although 1 in 4 said it could at least be considered AI.

The animated paper clip assistant, launched with Microsoft Office 97, offered tips based on what the user was doing, like offering to help format a letter after “Dear Kevin,” was typed. But the widely panned feature was a far cry from intelligence. Microsoft turned it off by default in 2001 and launched a self-aware ad campaign that Clippy was out of work.