Natural Language Processing for Identifying Bias in a Span of Text

This invention describes a computer system that analyzes written text to detect bias. It works by identifying a specific word or phrase and then determining a category of bias related to it, based on other words and phrases in the surrounding text. The system can also use additional information about the word or phrase to pinpoint bias directed at particular demographic groups.

Why it matters: Since 2023, large language models have dramatically improved contextual understanding and nuanced bias detection, making this system significantly easier and more accurate to build.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedSoftware logic, natural language processing, machine learning models

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