risk identification
2023 Mainstream e-commerce platforms have strengthened their audits of AI-generated content, with common points of violation including 1) virtual model limb distortion; 2) unauthorized brand elements in the background; and 3) abnormal display of key parts of clothing.
protective measure
- Platform Built-in Guarantees: Protective mechanisms for photonic AI:
- Automatically detects and repairs 11 common deformities (e.g., six fingers, joint reflexion)
- Background element libraries are legally vetted (excluding luxury brand landmarks)
- Edge enhancement on sensitive areas such as necklines/hems
- Points for manual review::
- Compulsory check: model's length-to-width ratio (shoulder width/head-to-body ratio)
- Confirmation of details: whether the reflection of metal parts such as buttons/zippers is natural or not
- Copyright verification: check for recognizable billboards/logos in the background
- Emergency program::
- <li) Use "AI Retouching → Manual Retouching" blend mode immediately after being warned by the platform
- Submitting platform-side AI content logos for disputed images
- Creation of a "secure template library" to hold reviewed compositions
Compliance Recommendations
Strict implementation of the "3-2-1 principle": 3 AI generation → 2 manual inspection → 1 platform pre-approval; special attention to children's clothing categories need to use the platform certification of children's model templates
This answer comes from the articlePhoton AI: A smart tool for e-commerce companies to quickly generate apparel merchandise mapsThe
May not be reproduced without permission:AI productivity tools " How to avoid generative AI product images from being ruled illegal by e-commerce platforms?
