Abstract: Examples provide a public safety answering point server including a processor configured to determines that a call taker of the PSAP has received a call from a caller regarding an incident and generate a transcript of the call. Based on the transcript, the processor determines a set of call attributes associated with the call, and determines whether a computer automated dispatch (“CAD”) record associated with the call is created within a threshold time period from the start time of the call. When the CAD record associated with the call is not created within the threshold time period, the processor infers, using a first artificial intelligence model, whether a CAD record should be created. In response to inferring that a CAD record should be created based on the set of call attributes, the processor generates and transmits a quality alert to an electronic device associated with a user of the PSAP.

Abstract: The invention uses document retrieval to explain to a human user the properties of a query object that are revealed by a machine learning procedure, lending interpretability to the procedure. A query object is compared to reference objects by transforming the query object and reference objects into representative tokens. Reference objects with many tokens in common with the query object are returned as relevant result objects by a document retrieval system. The token representation furthermore admits comparison between features of the query object and matched features of the reference object or between the query object and groups of reference objects having common features, thus emphasising characteristics of the query and reference objects of semantic importance to the user based on the intention of their search. Embodiments include retrieval of 2-dimensional or 3-dimensional images, audio clips, and text.

Abstract: The invention uses document retrieval to explain to a human user the properties of a query object that are revealed by a machine learning procedure, lending interpretability to the procedure. A query object is compared to reference objects by transforming the query object and reference objects into representative tokens. Reference objects with many tokens in common with the query object are returned as relevant result objects by a document retrieval system. The token representation furthermore admits comparison between features of the query object and matched features of the reference object or between the query object and groups of reference objects having common features, thus emphasising characteristics of the query and reference objects of semantic importance to the user based on the intention of their search. Embodiments include retrieval of 2-dimensional or 3-dimensional images, audio clips, and text.