DEVICE, SYSTEM, AND METHOD FOR REDUCING MACHINE LEARNING BIAS IN MACHINE LEARNING GENERATED TEXTUAL LISTS OF TIME-STAMPED EVENTS

A device, system, and method for reducing machine learning bias in machine learning generated textual lists of time-stamped events is provided. The device generates, via a machine learning algorithm, using sensor data related to the incident, a textual list of time-stamped events for an incident, one or more of the events associated with respective machine learning confidence scores. For a given time-stamped event having a respective machine learning confidence score less than a threshold confidence score, the device redacts the given event in the list and replaces it in the list with a field for receiving input, the list of rendered at a display screen with the given event in the list replaced with the field. The device receives, via an input device, input at the field and after receiving the input, un-redacts the given event, and renders, at the display screen, the received input received and the given event.