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Sample internal privacy notice

From Event Gates Wiki

Sample internal privacy notice for Safety AI deployments

Below is a sample privacy notice intended to support organizations in preparing their internal documentation for Safety AI deployments.

Disclaimer

This is not a legal advise. End users should use this information on their own discretion and change the content as they see it fit.

Internal Privacy Notice: AI Camera System for Machine Safety

1. Purpose of Data Processing

We operate an AI-powered camera system to enhance machine safety in our facility. The system detects and records footage only when a person is present under specific safety-relevant conditions (e.g., presence near active machinery).

2. What Personal Data Is Collected

  • Video footage containing images of individuals who enter monitored zones during safety events.
  • No continuous surveillance is performed.
  • No facial recognition or identity tracking is used.

3. Legal Basis for Processing

The processing is based on:

  • Legitimate interest (Article 6(1)(f) GDPR): Ensuring occupational safety, preventing accidents, and facilitating incident analysis.
  • Where applicable, legal obligations under workplace safety regulations.

4. Who Has Access to the Data

  • Footage is stored locally on an isolated edge device.
  • Only authorized personnel may access the data for safety audits or incident investigations.
  • No internet connectivity is used, and no data is transferred externally.

5. Retention Period

Recorded footage is automatically deleted after [X days], unless retained for an active investigation or regulatory requirement.

6. Your Rights

You have the right to:

  • Request access to your personal data
  • Request rectification or erasure (where applicable)
  • Object to processing, if justified
  • Lodge a complaint with a supervisory authority

Requests can be submitted to:

[Contact Name / Role]

[Email address or internal system link]

7. Security Measures

We apply strict access controls, physical protections, and technical safeguards to ensure data is not accessed, altered, or disclosed improperly.