This inventor holds 3 USPTO granted patents. Top assignee: Sas Institute Inc.. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Luiz Henrique Outi Kauffmann: Innovator in Machine Learning Bias Mitigation
Introduction
Luiz Henrique Outi Kauffmann is a notable inventor based in Apex, NC (US). He has made significant contributions to the field of machine learning, particularly in developing systems and methods to mitigate bias in decision-making models. With a total of 3 patents, Kauffmann's work is paving the way for more equitable technology.
Latest Patents
Kauffmann's latest patents focus on innovative systems, methods, and graphical user interfaces designed to address bias in machine learning-based decisioning models. One of his patents involves obtaining a decisioning dataset that includes both favorable and unfavorable decisioning records. The system utilizes a machine learning algorithm to detect the closest favorable decisioning record to an unfavorable one. It then executes a counterfactual assessment and generates an explainability artifact based on bias intensity metrics. This artifact is displayed in a user interface, providing insights into the bias present in the decision-making model.
Career Highlights
Kauffmann is currently employed at SAS Institute Inc., a leading analytics software company. His work at SAS focuses on enhancing machine learning algorithms to ensure fair and unbiased decision-making processes. His innovative approach has garnered attention in the tech community, highlighting the importance of ethical considerations in artificial intelligence.
Collaborations
Kauffmann collaborates with Aline Riquetti Campos Emídio, a fellow innovator in the field. Together, they work on projects that aim to improve the transparency and fairness of machine learning systems.
Conclusion
Luiz Henrique Outi Kauffmann is a pioneering inventor whose work in mitigating bias in machine learning is crucial for the future of technology. His contributions are not only advancing the field but also promoting ethical practices in artificial intelligence.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
