Principles addressing human rights, fairness, transparency and accountability in AI development and use.
In a design workflow, consider source permissions, misleading presentation, effects on people and human oversight. UNESCO’s recommendation addresses these issues across the AI lifecycle; a single technical setting cannot replace ethical evaluation.
Source: Official documentation.
A general term covering AI-powered photo and image editing tools. Includes automated retouching, object removal, style transformation, and more.
Artworks created using AI technologies or where AI plays an active role in the creative process. It enables producing digital art without needing traditional artistic skills.
General term for technologies that create new video content from text, image, or video inputs using AI.
Multi-modal AI describes systems capable of processing different data types like text, images, audio, and video simultaneously.
AI technology that detects visible or invisible watermarks in images and in some cases removes them. Used in content verification, copyright protection, and AI-generation tracking fields.
The automatic processing of multiple images or operations simultaneously or sequentially. Instead of manually processing items one by one, it enables the management of hundreds or thousands of items through an automated pipeline.