Artificial Intelligence (AI) and Machine Learning (ML) methods have become a hot topic in information security research. More and more researchers are expanding the use of these methods and using them to conduct their research. In doing so, researchers need to consider these methods’ ethical and technical pitfalls carefully. Researchers must select methods that describe the problem well, find adequate training data, or choose from existing trained models carefully. In this presentation, we will use some simple examples that are approachable to non-ML experts to illustrate these dangers. You will better understand how to recognize and avoid some of these issues as you approach ML or evaluate existing ML solutions.

SANS AI Cybersecurity Forum 2024
The responsible use of generative AI in academic information security research
Speaker: Johannes Ullrich

View upcoming Summits: http://www.sans.org/u/DuS