Adjusting AI to better recognize gender and race in stories

Automation of extraction of gender and race references in AI-generated stories, improves accuracy and addresses biases. Company specialized in developing innovative technologies in artificial intelligence and process automation.

miércoles, 23 de abril de 2025 • 1 min read • Q2BSTUDIO Team

Artificial-Intelligence-

The study fine-tunes a language model to automate the extraction of gender and race references in stories generated by artificial intelligence, addressing biases such as poor performance with non-binary pronouns. The approach improves accuracy, achieving over 98% for gender and name identification, and addresses the challenges of modeling minority identities.

Our company Q2BSTUDIO specializes in development and technology services, providing innovative solutions in the field of artificial intelligence and process automation.

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