Abstract: In one embodiment, a device receives a request for a machine learning model to make an inference about input data included in the request. The device retrieves metadata regarding training data used to train the machine learning model from a ledger associated with the machine learning model. The device assesses bias of the machine learning model by comparing the input data in the request to the metadata from the ledger. The device provides an indication of the bias of the machine learning model for display.

Abstract: In one embodiment, a method for selecting video channels is implemented on a computing device and includes: presenting at least one set of detected facial images, detecting user selection of a selected set of detected facial images, where each of the at least one set is associated with one of the video channels; and sending a video channel switching command to a video channel playing device, where the video channel switching command indicates a switch to the video channel associated with the selected set of detected facial images.

Abstract: In one embodiment, a method for detecting faces in video image frames is implemented on a computing device including: comparing current image frames to previously processed image frames to determine similarity, if a current image frame and a previously processed image frame are dissimilar, comparing a location within the current image frame for at least one detected facial image to a location within an associated image frame for at least one most recently stored facial image stored in a most recently used (MRU) cache, if the compared locations are dissimilar, comparing the at least one detected facial image to the at least one most recently stored facial image stored in the MRU cache to determine similarity, and storing the at least one detected facial image in the MRU cache if the at least one detected facial image and the at least one most recently stored facial image are not dissimilar.

Abstract: In one embodiment, a method for detecting faces in video image frames is implemented on a computing device including: comparing current image frames to previously processed image frames to determine similarity, if a current image frame and a previously processed image frame are dissimilar, comparing a location within the current image frame for at least one detected facial image to a location within an associated image frame for at least one most recently stored facial image stored in a most recently used (MRU) cache, if the compared locations are dissimilar, comparing the at least one detected facial image to the at least one most recently stored facial image stored in the MRU cache to determine similarity, and storing the at least one detected facial image in the MRU cache if the at least one detected facial image and the at least one most recently stored facial image are not dissimilar.

Abstract: In one embodiment, a method for selecting video channels is implemented on a computing device and includes: presenting at least one set of detected facial images, detecting user selection of a selected set of detected facial images, where each of the at least one set is associated with one of the video channels; and sending a video channel switching command to a video channel playing device, where the video channel switching command indicates a switch to the video channel associated with the selected set of detected facial images.