AI vs Not AI Quiz

AI vs Not AI Quiz

Professional Development

12 Qs

quiz-placeholder

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AI vs Not AI Quiz

AI vs Not AI Quiz

Assessment

Quiz

Professional Development

Professional Development

Medium

Created by

Andre Worsnop

Used 4+ times

FREE Resource

12 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

GPS Navigation – Uses satellite tracking to provide location and directions.

AI

Not AI

Answer explanation

It follows a fixed set of rules to determine location and directions without learning from data.

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Google Maps (Traffic & Routes) – Predicts traffic conditions and suggests the best route.

AI

Not AI

Answer explanation

It analyses live traffic data, learns from patterns, and predicts congestion to suggest better routes.

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Traditional Spellcheck (Google Docs, Microsoft Word) – Detects spelling errors based on a fixed word list.

AI

Not AI

Answer explanation

It checks words against a predefined dictionary without learning or adapting over time.

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Grammarly – Checks spelling and grammar, suggests alternative phrasing.

AI

Not AI

Answer explanation

It uses AI to analyse context, learn from data, and provide advanced writing suggestions.

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Facial Recognition (Face ID, CCTV Analysis) – Identifies and verifies faces in photos or videos.

AI

Not AI

Answer explanation

It uses machine learning to recognise and verify faces by comparing patterns in images.

6.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Basic Search Engines (Old keyword-based search) – Finds results by matching words in a database.

AI

Not AI

Answer explanation

It retrieves results based on exact keyword matches without understanding context or improving over time.

7.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Netflix / Spotify Recommendations – Suggests movies, shows, or music based on past choices.

AI

Not AI

Answer explanation

It learns from user preferences, viewing/listening history, and suggests personalised recommendations.

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