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.
Social Responsibility Resources is an online library which is aimed at collecting resourcing supporting social responsibility in the fisheries. The library collects tools which are displayed as shown in the preview below and is easy to access. ...Read More
Content Safety API is a free toolkit developed by Google to help increase the capacity to review child sexual abuse material (CSAM) content in a way that requires fewer people to be exposed to it. By using deep neural networks for image pro...Read More
Tools for Ethical Seafood Sourcing (TESS) is a web tool that points you to a whole host of useful (and free) resources which can help businesses address social responsibility challenges in their seafood supply chains. TESS launched in March ...Read More
Given the rapid development of initiatives aimed at helping businesses fight human trafficking, the RESPECT Initiative (comprising Babson College's Initiative on Human Trafficking and Modern Slavery, the Global Initiative Against Transnational Organi...Read More
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