What is Data Privacy

Definition

Data Privacy is the protection of personal and sensitive information from unnecessary collection, disclosure, and unauthorized use. Simply put, this concept helps assess risk, liability, safety, and compliance. In practice, it helps to understand what capabilities the tool actually has, what data it will need, and what limitations are worth checking before implementation.

Example

The team checks whether the AI service sends personal data to an external API and whether it can be deleted upon request.

Why it matters

Data privacy is critical to trust, legitimacy, and safe implementation of AI. This helps you choose AI tools not by big promises, but by how they work in a real problem.

How it works

First, stakeholders, data, and potential harm are identified, then checks, restrictions, audits, and responsibilities are introduced. In the case of the term “Data Confidentiality”, it is important to look separately at the data, quality criteria and application conditions.

Where it is used

• Important in products where AI impacts people, personal data, security, legal risks or decision making.

Limitations

Risks change as laws, products and data change, so these pages require regular editorial review.