SYSTEM AND METHOD FOR SOLVING TEXT SENSITIVITY BASED BIAS IN LANGUAGE MODEL

    公开(公告)号:US20210097239A1

    公开(公告)日:2021-04-01

    申请号:US17034987

    申请日:2020-09-28

    Abstract: A method for determining sensitivity-based bias of text includes detecting an input action performed by a user from a plurality of actions, wherein the plurality of actions comprises typing one or more words on a virtual keyboard of a user device and accessing readable content on the user device. When the input action is accessing the readable content on the user device, determining the readable content to be insensitive by parsing the readable content and feeding the parsed readable content to a machine learning (ML) model, wherein the ML model is trained with insensitive datasets of an adversarial database, and presenting a first alert message on the user device before displaying the readable content completely on the user device when the readable content is determined to be insensitive. When the input action is typing the one or more words on the virtual keyboard of the user device, determining the one or more words to be insensitive by parsing the one or more words and feeding the parsed one or more words to the ML model, predicting that a next word to be suggested is insensitive when the one or more words are determined to be insensitive, and performing at least one of presenting a second alert message on the user device when the one or more words are determined to be insensitive, and presenting one or more alternate words for the next word as a suggestion for typing on the user device when the next word is predicted to be insensitive.

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