Protecting personal data when using AI

Protecting personal data when using AI

Objective: The worksheet raises learners' awareness of protecting their privacy when using artificial intelligence. The aim is to develop a deep understanding of what “personal data” is, the risks involved in sharing it, and how to protect oneself from misuse through targeted security rules.


Content and methods: The content includes an age-appropriate introduction to sensitive personal data, the risks involved in the digital space, and the conscious use of passwords, apps, and one's own digital footprint. This is supplemented by case studies on data misuse and the development of specific security rules for everyday life. Methods include visual image analysis, multiple-choice tasks to consolidate knowledge, active categorization exercises, scenario-based case studies, and creative group work such as designing security posters to promote reflection and decision-making skills.


Competencies:

  • Media literacy: Developing an awareness of one's “digital footprint” and protecting one's identity online
  • Risk perception: Ability to recognize potential dangers such as identity theft or unauthorized data transfer via apps
  • Action competence: Formulation and application of practical safety rules for everyday digital life
  • Critical thinking: Questioning the trustworthiness of applications, even if they promise useful functions



Target group and level: From grade 7 and above

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50 other teachers use this template

Target group and level

Grades 7 and above

Subjects

non-subject specific content

Protecting personal data when using AI

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What is personal data?

Look at the picture and read all the information. Then choose the correct statement. 

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Why is it necessary to protect personal data?

When personal data is shared on the internet or in AI programs, it can be used or misused by strangers.

Sort the terms into the correct fields and then answer the question.

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Scenario

Form groups of four and read the following two scenarios carefully. Discuss:

  1.  What data may be shared?
  2. What data may not be shared?
  3. What dangers could arise if the data is shared?
  4. Then formulate three tips on how to protect the data.

Case Study: Negative Scenario

Lena Fischer, eager to improve her grades, decides to use an AI app that promises personalized study tips. She uploads her school grades, expecting insightful advice. However, the app, unbeknownst to her, is not secure. The data is stored in a poorly protected database, and a hacker gains access to her personal information. Lena's grades, along with her name and school details, are exposed on a public forum. She starts receiving unsolicited emails, and classmates are gossiping about her academic performance. Lena realizes her mistake but feels helpless as her privacy is compromised, leading to stress and embarrassment.

Case Study: Positive Scenario

Lena Fischer decides to use an AI app to analyze her school grades for study tips. Prior to inputting her data, she checks the app’s privacy policy, confirming it adheres to strict data protection guidelines. The app allows her to enter only the necessary information without linking her identity. Lena inputs her grades anonymously, receiving personalized advice without compromising her privacy. The app uses secure encryption to process data, ensuring her information remains confidential. Lena feels confident and empowered, knowing her privacy is respected, and she can focus on improving her academic performance without concerns about data misuse.

What data may be shared?

What data may not be shared?

What risks could arise if the data is shared?

Write down 3 tips on how to protect data.

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Create AI safety rules

Work together to create a poster with 5 safety rules for using AI.

Steps:

  1. Discuss together: What is safe to share? What is not safe to share?
  2. Formulate short rules.
  3. Use colors or symbols.
  4. Each person later explains one rule to the class.

Examples of rule beginnings:

  • “I never give …”
  • “I ask first …”
  • “I only share …”

Lade Zeichenfeld...

Solution for teachers

  1. Which data may be shared?
    In the positive scenario, Lena can share her school grades with the AI app because she checks the privacy policy first. This ensures her grades are used properly to give her study tips.

  2. Which data may not be shared?
    Lena should not share her personal information like her name, school details, or anything that can identify her. It's important to keep this information private to avoid problems.

  3. What dangers could arise if the data is shared?
    If Lena shares personal information, it could get into the wrong hands, like hackers. They might post it online, leading to unwanted emails and gossip among classmates about her grades. It could make her feel embarrassed and stressed.

  4. Three tips on how to protect the data:

    • Always check the privacy policy of apps before entering your information to make sure they protect your data.
    • Use apps that allow you to input data anonymously, so you don’t have to share your identity.
    • Choose apps that use secure encryption to keep your information safe and confidential.
Shareable DataOnly share school grades with secure apps. Check their privacy policy toensure your data is protected. Non-shareable InfoKeep personal information like name and school details private to avoididentity exposure. Potential RisksSharing personal details can lead to exposure and misuse, causing stressand unwanted attention. Check PrivacyReview app privacy policies to ensure data protection. Only use apps thatadhere to strict guidelines. Stay AnonymousUse apps that allow anonymous data input to protect your identity andpersonal information. Use EncryptionChoose apps with encryption to keep your data secure and confidential,minimizing unauthorized access.Data Sharing Safety