AI Glossary
Privacy by Design
Privacy by Design is the practice of building privacy protections into systems and processes from the beginning rather than adding them later.
Privacy by Design
Overview
Many organizations historically treated privacy as something to address after a system was built.
Over time, this approach often created additional costs, risks, and complications.
Privacy by Design takes a different approach.
Instead of adding privacy protections after deployment, privacy considerations are built into systems from the start.
A useful analogy is constructing a house.
It is much easier to install plumbing and electrical systems during construction than to tear down walls and add them later.
Privacy works similarly.
Building privacy into the design process is generally more effective than attempting to retrofit protections after deployment.
In AI projects, Privacy by Design may include:
- Limiting data collection
- Protecting sensitive information
- Using access controls
- Applying security safeguards
- Establishing retention policies
- Considering privacy risks early in development
This approach encourages organizations to think proactively rather than reactively.
As AI systems increasingly process personal information, Privacy by Design has become a common principle in governance, compliance, and risk management programs.
Why It Matters
Privacy by Design helps reduce privacy risks, improve trust, support compliance efforts, and create more responsible AI systems.
Real-World Example
A company developing an AI-powered customer service platform designs the system to automatically remove sensitive personal information before data is stored.
This reflects Privacy by Design.