Building data-protection safeguards into the system | AIGP
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Building data-protection safeguards into the system: Which action best reflects that principle at the design

AIGP Understanding How Laws, Standards and Frameworks Apply to AI Medium

Privacy by design means embedding data-protection safeguards into the architecture from the outset and by default, not adding controls after launch.

The question

A team applies the principle of privacy by design when building a new AI feature. Which action best reflects that principle at the design stage?

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  1. Adding a written privacy notice to the application only after the new feature has fully launched.
    Plausible but wrong: a post-launch notice is a late, add-on transparency step, not the proactive design-stage embedding that privacy by design requires.
  2. Running a comprehensive security audit once the system is already live in production.
    Plausible but wrong: a security audit after deployment is a valuable check but does not embody designing in privacy from the start.
  3. Building data-protection safeguards into the system architecture by default from the start.
    Correct: privacy by design means embedding data-protection measures into the system's architecture from the outset and by default, rather than bolting them on later.
  4. Collecting extra personal data upfront to avoid having to re-collect it again later.
    Plausible but wrong: collecting surplus data contradicts both privacy by design and data minimization.
The trap
Believing a post-launch privacy notice or security audit satisfies privacy by design, when the principle requires building protections in from the outset.

How to remember it

Privacy by design means embedding data-protection safeguards into the architecture from the outset and by default, not adding controls after launch.

How many of these would you get right?

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