As terrorists and groups use technology to spread information on the internet and raise funds through cyber-attacks in the modern century, countries worldwide have adopted AI features to combat extremism.
FREMONT, CA: Terrorism attacks have taken on new dimensions in recent years, posing new challenges to global security. Despite the efforts of international communities and nations worldwide to put an end to it, malicious organizations continue to find a way out. Emerging Artificial Intelligence (AI) technologies, on the other hand, contribute to the fight against terrorism.
AI is a tool that performs functions that are encoded in them and inherited from their human programmers' intelligence. However, given the right data, these AI engines can be trained to recognize patterns and information that would otherwise be difficult for humans to detect, mainly when working with large digital databases moving at a high data rate.
Terrorists' information access has been facilitated by existing simple technologies such as surveillance cameras, satellite data, drones, wearables, and manual analysis of such large and complex data to extract strategic awareness. These, however, are insufficient to eradicate terrorism. Finally, AI's interference and the breakthrough of deep neural networks opened a new window for providing human-grade accuracy in such solutions.
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Terrorism is a long-standing concern. The rise in terrorist attacks, on the other hand, has sparked a need for a technological solution. As terrorists and groups use technology to spread information on the internet and raise funds through cyber-attacks in the modern century, countries worldwide have adopted AI features to combat extremism. Facial recognition, artificial neural network, and social network analysis are some of the common methods used in the process. Here are a few examples of applications.
• Artificial Neural Network (ANN)-ANN with a feed-forward backpropagation network establishes a high level of certainty in various misleading behavior patterns. These aid authorities in identifying terrorists on a large scale.
• Social Network Analysis-This tool is handy for studying terrorist networks because it considers relationships rather than just characteristics, which can be difficult to obtain for covert networks.
• Facial Recognition System-This system uses a database of people's facial expressions to identify whitelisted or blacklisted.
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