Several auditing tools have been developed to assist in the detection of bias in training data. These tools can automate parts of the bias detection process, making the task more manageable, especially for large datasets. The effectiveness of these tools varies with their design and the specific types of bias they are programmed to detect. A notable limitation is that these tools might not be comprehensive in their assessment, potentially overlooking biases that they were not explicitly designed to detect.
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