Technical Discipline: Artificial Intelligence – Machine Learning

Artificial Intelligence is a discipline of creating behavior that mimics aspects of human decisions at the machine level. In this endeavor, the machines that host the intelligence are implied to be computing machines that will be used to increase the effectiveness and efficiency of controlling other devices or creating insight through problem solving and analysis. Within this discipline, Machine Learning addresses the development of methods for a computer to ‘learn’, to acquire and retain new skills or knowledge with the objective of generalization. While theoretical research on machine learning is advancing computational techniques, applications have been more oriented toward continuously improving the performance of a specific engineering systems during their operating life cycle. Assuring the safety of such systems cannot rely on traditional aviation design assurance.

The CSTA for Artificial Intelligence – Machine Learning works to retain and broaden U.S. leadership in research and knowledge related to how machine learning may be used in aviation systems, and how to evaluate integration of components based on machine learning with aircraft software. This may include specific areas such as algorithm development, data analysis, and analysis of neural networks, including techniques such as supervised and unsupervised machine learning algorithms, especially regression and convolution.

Dr. Trung T. Pham is FAA’s Chief Scientific and Technical Advisor for Artificial Intelligence – Machine Learning. Dr. Pham can be contacted at

Last updated: Wednesday, March 20, 2024