This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Oracle International Corporation. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: John Frederick Courtney: Innovator in Machine Learning Explainability
Introduction
John Frederick Courtney is an accomplished inventor based in Benton, LA (US). He has made significant contributions to the field of machine learning, particularly in the area of decision rationales and explainability. His innovative work aims to enhance the understanding of machine-learning processes and their outcomes.
Latest Patents
John Frederick Courtney holds a patent for "Machine learning traceback-enabled decision rationales as models for explainability." This patent describes techniques for providing decision rationales for machine-learning guided processes. The methods involve processing queries to explain the outcomes of decisions influenced by machine-learning processes, with oversight from human operators. The system determines whether the outcome was due to human error or the machine-learning processes and generates a response accordingly.
Career Highlights
Courtney is currently employed at Oracle International Corporation, where he applies his expertise in machine learning and decision-making systems. His work focuses on developing solutions that improve the transparency and accountability of automated processes.
Collaborations
Some of his notable coworkers include Dieter Gawlick and Anna Chystiakova, who collaborate with him on various projects within the company.
Conclusion
John Frederick Courtney's contributions to machine learning and decision rationales exemplify the importance of explainability in technology. His innovative patent and work at Oracle International Corporation highlight his commitment to advancing the field.