How do you debug an AI agent that misinterprets contracts?

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Debugging an AI agent misinterpreting contracts typically begins by examining the specific clauses or contractual terms it misunderstood and verifying the input data quality. Next, we delve into the agent's internal reasoning, often by analyzing its attention mechanisms or intermediate representations to pinpoint where the interpretation deviates. A crucial step involves reviewing the training dataset for potential gaps, biases, or insufficient examples relating to the misinterpreted legal concepts or phrasing. We also assess the model's architecture and feature engineering to ensure it's equipped to handle the complexities of legal language and context. Finally, targeted adversarial examples are created to test specific failure modes, followed by data augmentation and fine-tuning to improve accuracy.