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.
My Story in Computing with Sam Procter
Developing and Using a Software Bill of Materials Framework
The Importance of Diversity in Cybersecurity: Carol Ware
The Importance of Diversity in Software Engineering: Suzanne Miller
The Importance of Diversity in Artificial Intelligence: Violet Turri
Using Large Language Models in the National Security Realm
Atypical Applications of Agile and DevSecOps Principles
When Agile and Earned Value Management Collide: 7 Considerations for Successful Interaction
The Impact of Architecture on Cyber-Physical Systems Safety
The Cybersecurity of Quantum Computing: 6 Areas of Research
User-Centric Metrics for Agile
The Product Manager’s Evolving Role in Software and Systems Development
Measuring the Trustworthiness of AI Systems
Actionable Data in the DevSecOps Pipeline
Insider Risk Management in the Post-Pandemic Workplace
An Agile Approach to Independent Verification and Validation
Zero Trust Architecture: Best Practices Observed in Industry
Automating Infrastructure as Code with Ansible and Molecule
Identifying and Preventing the Next SolarWinds
Create your
podcast in
minutes
It is Free