Abstract: Embodiments are directed to artificial intelligence (AI) analysis and explanation utilizing hardware measures of attention. An embodiment of a non-transitory computer-readable storage medium has stored thereon executable computer program instructions for: monitoring one or more factors of an AI network during operation of the network, the network to receive input data and output a decision based at least in part on the input data; determining attention received by the one or more factors of the network during the operation of the network; determining one or more relationships between the attention received by the one or more factors and a decision of the network based at least in part on the monitored information; and generating an analysis of the operation of the network based at least in part on the one or more relationships between attention received by the one or more factors and the decision of the network.

Abstract: A system and method for forecasting shrinkage of employees is provided. According to one embodiment, scheduled shrinkage values are identified from a work schedule and stored in a data file. A command is received by a processor to predict shrinkage of employees for a future forecast period. Selection of the data file is received, and in response, the processor is configured to automatically populate shrinkage fields for the forecast period with the scheduled shrinkage values retrieved from the data file. According to one embodiment, the scheduled shrinkage values are set as the shrinkage values that are forecast for the forecast period. A work schedule of employees is the generated for the forecast period taking into account the forecast shrinkage values. According to one embodiment, the processor may also engage of automatic shrinkage forecasting based on analysis of historic shrinkage data.

Abstract: A system and method for forecasting shrinkage of employees is provided. According to one embodiment, scheduled shrinkage values are identified from a work schedule and stored in a data file. A command is received by a processor to predict shrinkage of employees for a future forecast period. Selection of the data file is received, and in response, the processor is configured to automatically populate shrinkage fields for the forecast period with the scheduled shrinkage values retrieved from the data file. According to one embodiment, the scheduled shrinkage values are set as the shrinkage values that are forecast for the forecast period. A work schedule of employees is the generated for the forecast period taking into account the forecast shrinkage values. According to one embodiment, the processor may also engage of automatic shrinkage forecasting based on analysis of historic shrinkage data.