To better understand the potential uses of large language models (LLMs) and their impact, a team of researchers at the Carnegie Mellon University Software Engineering Institute CERT Division conducted four in-depth case studies. The case studies span multiple domains and call for vastly different capabilities. In this podcast, Matthew Walsh, a senior data scientist in CERT, and Dominic Ross, Multi-Media Design Team lead, discuss their work in developing the four case studies as well as limitations and future uses of ChatGPT.
AI in Humanitarian Assistance and Disaster Response
The AADL Error Library: 4 Families of Systems Errors
Women in Software and Cybersecurity: Suzanne Miller
Privacy in the Blockchain Era
Cyber Intelligence: Best Practices and Biggest Challenges
Assessing Cybersecurity Training
DevOps in Highly Regulated Environments
Women in Software and Cybersecurity: Dr. Ipek Ozkaya
The Role of the Software Factory in Acquisition and Sustainment
Defending Your Organization Against Business Email Compromise
My Story in Computing with Dr. Eliezer Kanal
Women in Software and Cybersecurity: Eileen Wrubel
Managing Technical Debt: A Focus on Automation, Design, and Architecture
Women in Software and Cybersecurity: Grace Lewis
Women in Software and Cybersecurity: Bobbie Stempfley
Women in Software and Cybersecurity: Dr. Lorrie Cranor
Leading in the Age of Artificial Intelligence
Applying Best Practices in Network Traffic Analysis
10 Types of Application Security Testing Tools and How to Use Them
Using Test Suites for Static Analysis Alert Classifiers
Create your
podcast in
minutes
It is Free