Ensuring veracity of input corpus for effective artificial intelligence applications: veracity index
OwnerNiharika Seal Desirajuinventor
Life of this patent
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Abstract
Artificially Intelligent systems are able to draw inferences and conclusions by analyzing information in natural language and then using such information to prove or disprove hypotheses. The quality of such inferences is directly dependent on the accuracy of the input data corpus. Given the proliferation of the Internet as well as the dubious data sources on social media, it is important to determine the truthfulness of the input information. Combining concepts of library classification, crowd-sourced curation and Google Scholar search, we propose the concept of the Veracity Index and an algorithm to calculate it. This index can be used in Artificial Systems to determine the confidence measurement of the inferences.
Claims16
Method of ensuring veracity of input data by an author of the input data, comprising the steps of establishing the subject matter of the input data;
- if the subject matter of the input data is verified establishing whether there exists an eminent expert pool expert in the identified subject matter;
- if an expert pool for the identified subject matter exists assessing the veracity of the input data by said expert pool and updating input data veracity index and author eminence index based on expert pool assessment;
- establishing aggregate veracity index of the pool of input data with veracity indices;
- and updating a confidence score by weighing the average of the veracity indices to enhance the veracity of the input data.
A system for ensuring veracity of input data by an author on a predetermined subject comprising a computer with an input for entering the input data;
- means for establishing the subject matter of the input data;
- means for establishing whether there exists an eminent expert pool expert in the identified subject matter;
- if an expert pool for the identified subject matter exists assessing the veracity of the input data by an expert pool;
- means for updating input data veracity index and author eminence index based on expert pool assessment;
- means for establishing aggregate veracity index of the pool of input data with veracity indexes;
- and means for updating a confidence score by weighing the average of the veracity indices to enhance the veracity of the input data.
Dependencies are inferred from the claim text.