Abstract

Artificial intelligence (AI) technologies are rapidly proliferating around the world. In this paper, we first present the current state of AI applications around the world, analyzing the current use of iBorderCtrl in border control and the problems that exist. The current state of domestic security against terrorist attacks and mass migration problems highlights the need for a better and more effective border management system. At the heart of the AI-based iBorderCtrl project is the ability to perform automated "deception detection" and "risk assessment" in border crossing security. iBorderCtrl's technology is built on the controversial discipline of "emotion recognition science". Systems that rely on machine learning, especially those involving facial recognition technology, have so far been problematic and biased.

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