Currently, there is an enormous amount of interest in machine learning and artificial intelligence and what these new technologies can create for the present and future. In this SEI Cyber Talk episode, Rotem Guttman and April Galyardt discuss how machine learning fits into the bigger picture of artificial intelligence. They describe some of the current applications for machine learning as well as some of its limitations, including examples of machines reaching unexpected results, producing miscalculations because of contextual changes in the data they analyze, and introducing bias into their calculations. The participants also discuss possible use cases for and changes to machine learning that could occur in the mid to near future, including how machine learning might describe and explain its analyses for users to take appropriate action or to learn why the machine made certain decisions.

Artificial Intelligence and Machine Learning – Hype vs Reality

Researchers at the Software Engineering Institute, a nonprofit that conducts R&D in software engineering, systems engineering, cybersecurity, and many other areas of computing, discuss cyber-related topics of interest

Artificial Intelligence and Machine Learning – Hype vs Reality

Carnegie Mellon - SEI Cyber Talks