Unveiling Image Generation Sources: A Knowledge Graph Approach

This research explores a crucial aspect of AI image generation: understanding the origin of training data. The use of ontology-aligned knowledge graphs offers a promising method for tracing image creation back to its source, enhancing transparency and potentially mitigating bias.

• •Focuses on training data attribution, a critical concern in image generation.
• •Employs ontology-aligned knowledge graphs for source tracing.
• •Aims to improve transparency and address potential bias.