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How Artificial intelligence Stop Cyber Grooming Before the Damage Is Done

By analyzing online conversations in real-time with the assistance of innovative algorithms, Aiba manages to prevent cyber grooming and other unwanted behaviour in online communities.

With the rapid booming of the Internet and digital platforms, according to the FBI Internet Crime Center Report, in 2020 the cybercrime against children increased by 144% compared to 2019, that is 8 children facing online exploitation a day.

The fact that cyberviolence now is inflicted online offers dangerous possibilities for offenders to solicit children more conveniently and anonymously.

Given this situation, Aiba´s mission is very simple. To provide safe digital lives and make sure children have a safe space when they go online.

Innovative Technologies to Analyze Chat Dialogues

Emerging from the Norwegian University of Science and Technology (NTNU), Aiba´s solution will prevent cyber grooming towards children by using artificial intelligence, machine learning, and behavioural analysis that detect and predict potentially harmful conversations in real-time and at an early stage.

“We evaluated every single message in a conversation and based on the analysis, we determine the risk if a conversation is grooming,” says the co-founder and Research Lead of Aiba and professor at NTNU, Patrick Bours.  

Can unwanted behaviour be predicted at an early stage? Aiba’s algorithms provide opportunities for early intervention by detecting conversations simultaneously while it is happening- the risks of cyber grooming are moderated in real-time by the system. It significantly improves the efficiency of determining abusers by following messages flow from the beginning, “and we can detect grooming within 40 messages on average instead of the 3000 messages of the full conversation,” explains Patrick Bours.

Aiba continuously improves the accuracy of its innovative algorithms by studying other behavioral features, such as the rhythm of typing and stylometry, instead of solely text data. Bours elaborates, “we have analysed the behavioural patterns from 2.5 million chats and have been able to find multiple cases of grooming that would not have been detected otherwise.” 

Profiting from the Market Perspective

Aiba has developed a solution that continues to serve as a safeguard for children’s digital life and by that solves an important challenge in an increasing market.

Studies show content moderation solutions expect to grow by 13 percent per year, reaching $ 31 billion by 2031, from $9,8 billion in 2022. In addition over 200.000 people are involved in online moderation every day.

“The biggest challenge of online moderation today is it is often reactive and manual and requires a big amount of human hours”, says CEO and Co-founder of Aiba, Hege Tokerud.

Aiba is working together with global gaming companies to provide the most efficient and ceaseless monitoring. Tokerud further explains, “we are helping our partners to build an effective moderator tool so they can stop unwanted behaviour like cyber grooming before it turns out to be a case for the police.”

Furthermore, Aiba is cooperating with the Norwegian police to reduce the human workload in investigating chat data. “There is so much information linked to digital crime, that the human brain is not able to operate,” commented Rune Otterstad, a police officer and Operations Unit Manager of Norwegian Police, “in order to fight this kind of crime, we are completely depending on good partners (Aiba).”

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