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AssigneeMicrosoft Technology Licensing, LLC
InventorsHari Govind SHRAWGI, Madhur JINDAL, Parag AGRAWAL, Tushar SINGHAL, Prasanjit RATH, Saish Shrikant MENDKE
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This disclosure describes a framework for removing or mitigating inconsistency bias in generative artificial intelligence (AI) model responses, which inherently provide generative outputs that may include biases for certain groups. Specifically, this disclosure describes a model bias removal system (e.g., a model inconsistency bias mitigation system) that influences a generative AI model to respond to user prompts without inconsistency biases while not influencing or affecting other aspects of the model's ability to generate user responses. By doing so, the model bias removal system improves the accuracy and efficiency of generative AI models. Additionally, the model bias removal system enhances the fairness, consistency, and impartiality of generative AI model responses.
A computer-implemented method for reducing inconsistency bias from one or more generative artificial intelligence (AI) model responses, comprising:
A system comprising:
A computer-implemented method for reducing inconsistency bias from one or more generative artificial intelligence (AI) model responses, comprising:
Dependencies are inferred from the claim text.