AI Data Collection and Privacy
CONCEPTUALWhat data AI systems collect about you; who has it and why it matters; cookies, tracking, smart speakers always listening; your data is valuable
Mastery Evidence
- Name at least three types of personal data that AI systems collect
- Explain why personal data is valuable to companies
- Describe one step they can take to protect their privacy online
Assessment Prompt
“Does [child] understand that apps and websites collect information about what they do online, and could they explain why that matters?”
Prerequisites3
- Recommendation Systems and Filter BubbleshardAges 7—9
- Data and Information for ComputershardAges 7—9
- Scams & Online SafetysoftAges 9—11
Show full prerequisite tree
- Recommendation Systems and Filter Bubbles hard
Must understand recommendation systems before grasping broader data collection and privacy
- Data and Information for Computers hard
Must understand data before grasping how recommendation systems track clicks
- Step-by-Step Instructions soft
Understanding algorithms helps grasp how voice assistants process commands
- Computers in Everyday Life hard
Must know computers exist before understanding they follow exact instructions
- Smart Versus Not-Smart Devices hard
Must understand smart devices before exploring voice assistants as a specific smart device
- Computers in Everyday Life hard
Must know what computers are before sorting smart vs not-smart things
- Smart Versus Not-Smart Devices hard
Must understand smart things before spotting AI all around daily life
- Computers in Everyday Life hard
Must know what computers are before sorting smart vs not-smart things
- Step-by-Step Instructions hard
Must understand that computers follow instructions before learning about data as their input
- Computers in Everyday Life hard
Must know computers exist before understanding they follow exact instructions
- Data and Information for Computers hard
Must understand data before learning how computers find patterns in it
- Step-by-Step Instructions soft
Understanding algorithms helps grasp how voice assistants process commands
- Computers in Everyday Life hard
Must know computers exist before understanding they follow exact instructions
- Smart Versus Not-Smart Devices hard
Must understand smart devices before exploring voice assistants as a specific smart device
- Computers in Everyday Life hard
Must know what computers are before sorting smart vs not-smart things
- Smart Versus Not-Smart Devices hard
Must understand smart things before spotting AI all around daily life
- Computers in Everyday Life hard
Must know what computers are before sorting smart vs not-smart things
- Step-by-Step Instructions hard
Must understand that computers follow instructions before learning about data as their input
- Computers in Everyday Life hard
Must know computers exist before understanding they follow exact instructions
- Data and Information for Computers hard
Must understand data before learning about personal data collection
- Step-by-Step Instructions soft
Understanding algorithms helps grasp how voice assistants process commands
- Computers in Everyday Life hard
Must know computers exist before understanding they follow exact instructions
- Smart Versus Not-Smart Devices hard
Must understand smart devices before exploring voice assistants as a specific smart device
- Computers in Everyday Life hard
Must know what computers are before sorting smart vs not-smart things
- Smart Versus Not-Smart Devices hard
Must understand smart things before spotting AI all around daily life
- Computers in Everyday Life hard
Must know what computers are before sorting smart vs not-smart things
- Step-by-Step Instructions hard
Must understand that computers follow instructions before learning about data as their input
- Computers in Everyday Life hard
Must know computers exist before understanding they follow exact instructions
- Scams & Online Safety soft
Cross-domain: scams & online safety (Money & Finance) provides real-world privacy threat context
- Looking After Money hard
Must understand basic money safety before learning about sophisticated scams
- Reading and writing numbers to 20 hard
Recognising coin values requires reading numerals (1, 2, 5, 10, 20, 50)
- How Many in Total? hard
Reading/writing numerals 0–20 requires understanding that numerals represent quantities (cardinality)
- One-to-one counting hard
Cardinality principle builds on one-to-one correspondence — you must count correctly to know the last number tells 'how many'
- Writing digits 0-9 hard
Writing numerals requires the motor skill of forming digits 0-9 (taught in English handwriting)
- What Money Is hard
Must understand what money is before learning to recognise specific coins and notes
- Reading and writing numbers to 20 hard
Recognising coin values requires reading numerals (1, 2, 5, 10, 20, 50)
- How Many in Total? hard
Reading/writing numerals 0–20 requires understanding that numerals represent quantities (cardinality)
- One-to-one counting hard
Cardinality principle builds on one-to-one correspondence — you must count correctly to know the last number tells 'how many'
- Writing digits 0-9 hard
Writing numerals requires the motor skill of forming digits 0-9 (taught in English handwriting)
- What Money Is hard
Must understand what money is before learning to recognise specific coins and notes
- Coins & Notes hard
Must recognise coins/notes and their values before practising buying transactions
- Reading and writing numbers to 20 hard
Recognising coin values requires reading numerals (1, 2, 5, 10, 20, 50)
- How Many in Total? hard
Reading/writing numerals 0–20 requires understanding that numerals represent quantities (cardinality)
- One-to-one counting hard
Cardinality principle builds on one-to-one correspondence — you must count correctly to know the last number tells 'how many'
- Writing digits 0-9 hard
Writing numerals requires the motor skill of forming digits 0-9 (taught in English handwriting)
- What Money Is hard
Must understand what money is before learning to recognise specific coins and notes
- Deepfakes and AI-Generated Content soft
Cross-domain: understanding AI-generated fake content (AI) enriches online scam awareness (Money & Finance)
- AI Mistakes and Limitations hard
Must understand AI limitations before evaluating AI-generated content
- Machine Learning Basics hard
Must understand how training works before understanding why it can go wrong
- Step-by-Step Instructions soft
Understanding algorithms helps grasp how voice assistants process commands
- Computers in Everyday Life hard
Must know computers exist before understanding they follow exact instructions
- Smart Versus Not-Smart Devices hard
Must understand smart devices before exploring voice assistants as a specific smart device
- Computers in Everyday Life hard
Must know what computers are before sorting smart vs not-smart things
- Smart Versus Not-Smart Devices hard
Must understand smart things before spotting AI all around daily life
- Computers in Everyday Life hard
Must know what computers are before sorting smart vs not-smart things
- Step-by-Step Instructions hard
Must understand that computers follow instructions before learning about data as their input
- Computers in Everyday Life hard
Must know computers exist before understanding they follow exact instructions
- Patterns and Classification hard
Must understand patterns and sorting before grasping the training process
- Data and Information for Computers hard
Must understand data before learning how computers find patterns in it
- Step-by-Step Instructions soft
Understanding algorithms helps grasp how voice assistants process commands
- Computers in Everyday Life hard
Must know computers exist before understanding they follow exact instructions
- Smart Versus Not-Smart Devices hard
Must understand smart devices before exploring voice assistants as a specific smart device
- Computers in Everyday Life hard
Must know what computers are before sorting smart vs not-smart things
- Smart Versus Not-Smart Devices hard
Must understand smart things before spotting AI all around daily life
- Computers in Everyday Life hard
Must know what computers are before sorting smart vs not-smart things
- Step-by-Step Instructions hard
Must understand that computers follow instructions before learning about data as their input
- Computers in Everyday Life hard
Must know computers exist before understanding they follow exact instructions
- Step-by-Step Instructions soft
Understanding algorithms helps grasp how voice assistants process commands
- Computers in Everyday Life hard
Must know computers exist before understanding they follow exact instructions
- Smart Versus Not-Smart Devices hard
Must understand smart devices before exploring voice assistants as a specific smart device
- Computers in Everyday Life hard
Must know what computers are before sorting smart vs not-smart things
- Smart Versus Not-Smart Devices hard
Must understand smart things before spotting AI all around daily life
- Computers in Everyday Life hard
Must know what computers are before sorting smart vs not-smart things
- Step-by-Step Instructions hard
Must understand that computers follow instructions before learning about data as their input
- Computers in Everyday Life hard
Must know computers exist before understanding they follow exact instructions
- Patterns and Classification hard
Must understand patterns and sorting before grasping the training process
- Data and Information for Computers hard
Must understand data before learning how computers find patterns in it
- Step-by-Step Instructions soft
Understanding algorithms helps grasp how voice assistants process commands
- Computers in Everyday Life hard
Must know computers exist before understanding they follow exact instructions
- Smart Versus Not-Smart Devices hard
Must understand smart devices before exploring voice assistants as a specific smart device
- Computers in Everyday Life hard
Must know what computers are before sorting smart vs not-smart things
- Smart Versus Not-Smart Devices hard
Must understand smart things before spotting AI all around daily life
- Computers in Everyday Life hard
Must know what computers are before sorting smart vs not-smart things
- Step-by-Step Instructions hard
Must understand that computers follow instructions before learning about data as their input
- Computers in Everyday Life hard
Must know computers exist before understanding they follow exact instructions
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