Wedia AI Policy

Introduction

At Wedia, we understand that leveraging Artificial Intelligence (AI) within our DAM solutions must align with the highest standards of data protection, security, and customer trust. Our AI features are designed to enhance user efficiency and maximize media ROI while safeguarding sensitive client data.

Importantly, Wedia ensures that no customer data is ever used to train AI models.


1. Data Protection Principles

1.1 Compliance with GDPR

  • Wedia’s AI capabilities fully comply with the General Data Protection Regulation (GDPR).

  • Customer data is processed securely and only for the intended purposes defined within the DAM platform.

1.2 Data Minimization

  • AI services require minimal data to function effectively. Sensitive or Personally Identifiable Information (PII) is never stored unnecessarily.

1.3 No Customer Data in Model Training

  • Wedia guarantees that customer data is never used to train AI models.

  • All AI features rely solely on pre-trained, secure models provided by trusted partners.

  • All AI processing occurs within secure, isolated environments.

1.4 Data Ownership

  • Clients retain full ownership of their media, metadata, and AI-generated outputs.

  • Wedia does not claim rights to any customer data or content used within its DAM platform.

1.5 Secure Data Transmission

  • All data transferred between Wedia’s platform and cloud services is encrypted using industry-standard protocols


2. AI Security Measures

2.1 Best-in-Class Cloud and AI Infrastructure

Wedia partners with leading cloud and AI providers to ensure robust, scalable, and secure AI processing, including:

  • Amazon Web Services (AWS)

  • Microsoft Azure

  • Anthropic (AI caption generation)

  • DeepL (AI-powered translations)

  • Remove.bg (background removal tools)

3. Ethical Use of AI

  • Wedia aligns its AI solutions with responsible AI principles:

    • No bias: AI models are validated to minimize unintentional bias.

    • No customer data training: Customer data is never used to improve or train AI models.

    • Client control: Clients can enable or disable AI modules.

    • Privacy-first: Data remains private and secure, with no exposure to unauthorized systems.


4. Key AI Features and Data Handling

Feature

Purpose

Data Handling

Feature

Purpose

Data Handling

Tagging AI

Automatic concept tagging

Uses pre-trained models; customer data excluded

Content Moderation

Flag inappropriate content

Does not store flagged media

DeepL Translation

Automate text translations

Real-time, secure API calls

Caption Generation

AI-generated image captions

Outputs remain within the client’s environment

Background Removal

Simplify image editing

Processed securely using http://Remove.bg services