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Before AI (Artificial Intelligence) became popular, the way people cheated in video games was easily detected. However, everything changed when some cheaters found that AI could be used in cheating. When AI cheating replaces traditional cheating and becomes a popular cheating method, AI anti-cheating rises to the occasion. This paper presents the difference between AI cheating and traditional cheating, how AI cheating works use the YOLO (you only look once) , a model to achieve object detection as an example), and the differences between normal anti-cheating systems and AI anti-cheating. Through Python, the author built the basic cheating system and comprehended how the cheating system works by image recognition. In conclusion, building the anti-cheating system is harder than building the cheating system, because the cost of resources and the engineering difficulty are more and harder than the cheating system. That is the reason why the game company still uses the traditional anti-cheating system in now a day.
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Mingtao Chen (2024) studied this question.
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