AI-enhanced auditing platform including techniques to provide AI interpretability for processing data through multiple layers

Systems and methods are provided for providing interpretability for processing data through multiple layers. The input layer is configured to receive an evidence dataset comprising a plurality of evidence items, apply an evidence processing model to the evidence dataset to generate evidence understanding data, and generate input layer interpretability data representing information regarding processing of the evidence dataset by the input layer. The presentation layer is configured to receive data (evidence understanding data and/or data generated based on the evidence understanding data), apply one or more presentation generation models to the received data to generate presentation data, and generate presentation interpretability data for presentation to a user, wherein the presentation layer interpretability data represents information about processing of the received data set by the presentation layer. 提供了用于为通过多层处理数据提供可解释性的系统和方法。输入层被配置为接收证据数据集，所述证据数据集包括多个证据项目，将证据处理模型应用于证据数据集以生成证据理解数据，以及生成输入层可解释性数据，其中输入层可解释性