In this podcast from the Carnegie Mellon University Software Engineering Institute, Carol Smith, a senior research scientist in human-machine interaction, and Jonathan Spring, a senior vulnerability researcher, discuss the hidden sources of bias in artificial intelligence (AI) systems and how systems developers can raise their awareness of bias, mitigate consequences, and reduce risks.
Using the Cyber Resilience Review to Help Critical Infrastructures Better Manage Operational Resilience
Situational Awareness Mashups
Applying Agile in the DoD: Fourth Principle
Architecting Systems of the Future
Acquisition Archetypes
Human-in-the-Loop Autonomy
Mobile Applications for Emergency Managers
Why Use Maturity Models to Improve Cybersecurity: Key Concepts, Principles, and Definitions
Applying Agile in the DoD: Third Principle
DevOps - Transform Development and Operations for Fast, Secure Deployments
Application Virtualization as a Strategy for Cyber Foraging
Common Testing Problems: Pitfalls to Prevent and Mitigate
Joint Programs and Social Dilemmas
Applying Agile in the DoD: Second Principle
Managing Disruptive Events - CERT-RMM Experience Reports
Reliability Validation and Improvement Framework
Using a Malware Ontology to Make Progress Towards a Science of Cybersecurity
The Business Case for Systems Engineering
Applying Agile in the DoD: First Principle
The Evolution of a Science Project
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