SEI Podcasts

By: Members of Technical Staff at the Software Engineering Institute
Listen for free

  • Summary

  • Conversations in software engineering, cybersecurity, artificial intelligence engineering, and future technologies
    http://www.sei.cmu.edu/legal/
    Show more Show less
Science
Show more Show less
Episodes
  • Getting the Most Out of Your Insider Risk Data with IIDES

    Getting the Most Out of Your Insider Risk Data with IIDES
    Mar 26 2025
    Insider incidents cause around 35 percent of data breaches, creating financial and security risks for organizations. In this podcast from the Carnegie Mellon University Software Engineering Institute, Austin Whisnant and Dan Costa discuss the Insider Incident Data Expression Standard (IIDES), a new schema for collecting and sharing data about insider incidents. IIDES facilitates insider incident information handling to help organizations better protect themselves against the compromise of sensitive information and mission-critical systems, which is essential to maintaining national security and defense.
    Show more Show less
    39 mins
  • Grace Lewis Outlines Vision for IEEE Computer Society Presidency

    Grace Lewis Outlines Vision for IEEE Computer Society Presidency
    Mar 11 2025

    Grace Lewis, a principal researcher at the Carnegie Mellon University Software Engineering Institute (SEI) and lead of the SEI’s Tactical and AI-Enabled Systems Initiative, was elected the 2026 president of the IEEE Computer Society (CS), the largest community of computer scientists and engineers, with more than 370,000 members around the world. In this SEI podcast, Lewis sits down with Ipek Ozkaya, technical director of Engineering Intelligent Software Systems, to discuss her vision and plans for the IEEE CS presidency.
    Show more Show less
    18 mins
  • Improving Machine Learning Test and Evaluation with MLTE

    Improving Machine Learning Test and Evaluation with MLTE
    Mar 3 2025
    Machine learning (ML) models commonly experience issues when integrated into production systems. In this podcast, researchers from the Carnegie Mellon University Software Engineering Institute and the U.S. Army AI Integration Center (AI2C) discuss Machine Learning Test and Evaluation (MLTE), a new tool that provides a process and infrastructure for ML test and evaluation. MLTE can aid organizations across the DoD in more effectively negotiating, documenting, and evaluating model and system qualities.
    Show more Show less
    29 mins

What listeners say about SEI Podcasts

Average customer ratings
Overall
  • 5 out of 5 stars
  • 5 Stars
    1
  • 4 Stars
    0
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    0
Performance
  • 5 out of 5 stars
  • 5 Stars
    1
  • 4 Stars
    0
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    0
Story
  • 5 out of 5 stars
  • 5 Stars
    1
  • 4 Stars
    0
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    0

Reviews - Please select the tabs below to change the source of reviews.

Audible.com reviews

Amazon reviews
No Reviews are Available