Aiba
Financiado
TOOL TO ENSURE SAFE DIGITAL LIVES FOR KIDS AND TEENAGERS
Aiba creates safe digital lives for kids and teenagers. We do real-time detection of fake profiles and unwanted behavior, such as cyber grooming, toxicity, harassment and bullying in games and social media. Our machine learning po...
Aiba creates safe digital lives for kids and teenagers. We do real-time detection of fake profiles and unwanted behavior, such as cyber grooming, toxicity, harassment and bullying in games and social media. Our machine learning powered moderation service will make moderation easier for our customers. We risk score all ongoing conversations real-time on gaming and social media platforms, and help our customers to prevent unwanted behavior before it makes any harm. We help them stop cyber grooming early and our initial results show we can detect grooming coversations in less than 20 messages .Our service is powering our customers with increased community health and more efficient moderation through proactive and continuous risk scoring. They can save huge amounts of human hours by using our solution. Our unique SaaS multimodal approach, combined with machine learning makes for a new era in chatroom moderation.
With a novel approach based on award-winning research, researchers and data scientists at Aiba and NTNU, have developed and trained machine learning models with text and keystroke dynamics to detect cyber grooming and other unwanted behavior early so they can stop conversations to minimize harm and toxicity on their platforms. The solution has been trained and tested on short texts typically sent in a chat. From this minimal amount of information, the system has accurately been able to profile the chatter and determine both their age group and gender. The solution has been further developed to perform a continuous real-time analysis of the text messages, to mark suspicious conversations. To do this, natural language processing features (turning text into numerical feature vectors) are used, in combination with machine learning techniques.
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Duración del proyecto: 8 meses
Fecha Inicio: 2023-05-31
Fecha Fin: 2024-02-29
Fecha Fin: 2024-02-29
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-02-29
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
HORIZON-EIE-2022-SCALEUP-02-02:
Women TechEU
Cerrada
hace 2 años
Presupuesto
El presupuesto total del proyecto asciende a
75K€
Líder del proyecto
AIBA AS
No se ha especificado una descripción o un objeto social para esta compañía.
