Artificial Intelligence in the 2010s was dominated by machine learning, with deep neural networks and reinforcement learning delivering advancements in image captioning, natural language translation, and game playing. But the unstructured, changing nature of fraud was ill-suited to the complexity of machine learning, slowing the advancement of automated fraud detection.

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