Griffeye Brain CSA Classifier is a forensics tool aims to detect and rescue children pictured in child sexual exploitation material.
The filtering techniques can detect skin tones — even in low light or poor-quality video — then map connecting regions containing skin tones to determine if a subject is nude.
This technique will be paired with systems that can extract facial features and perform spatial and textural analysis to determine if the face belongs to an adult or a child.
The system will automatically assess the body motions to determine whether the content is explicit. The AI scans through previously unseen footage and suggests images that it believes depicts child sexual abuse content. The AI outputs a score that can be used to tell whether a file is pertinent to the investigation or not.
More information on the software can be found here.
Aangan works with children who are vulnerable to trafficking, hazardous or exploitative work, early marriage, violence and neglect. These children live in isolated rural settlements, urban unauthorized bastis, impoverished migrant communities – by...Read More
The sub-Saharan region of Africa has acted as a supplier of labour and raw materials to the rest of the world for centuries, often under terms that have resulted in harm to African people and nations. Corporations and governments have a responsibili...Read More
The Project Arachnid platform was initially designed to crawl links on sites previously reported to Cybertip.ca that contained CSAM and detect where these images/videos are being made publicly available.
Once child sexual abuse material is detec...Read More
A continuing study by Katarina Schwarz and Jean Allain.
To assess the extent to which slavery and related forms of human exploitation have been prohibited in domestic law, the Antislavery in Domestic Legislation Project compiles the constitution...Read More