Pillars of AI Engineering Assets
• Collection
Publisher
Software Engineering Institute
Topic or Tag
Abstract
This collection features white papers that discuss the three fundamental pillars of AI Engineering:
- Human-Centered AI
- Scalable AI
- Robust and Secure AI
Collection Items
Human-Centered AI
• White Paper
By Hollen Barmer, Rachel Dzombak, Matt Gaston, Jay Palat, Frank Redner, Carol J. Smith, Tanisha Smith
This white paper discusses Human-Centered AI: systems that are designed to work with, and for, people.
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Scalable AI
• White Paper
By Hollen Barmer, Rachel Dzombak, Matt Gaston, Jay Palat, Frank Redner, Tanisha Smith, John Wohlbier
This white paper discusses Scalable AI: the ability of AI algorithms, data, models, and infrastructure to operate at the size, speed, and complexity required for the mission.
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Robust and Secure AI
• White Paper
By Hollen Barmer, Rachel Dzombak, Matt Gaston, Eric Heim, Jay Palat, Frank Redner, Tanisha Smith, Nathan M. VanHoudnos
Discusses AI systems that reliably operate at expected levels of performance, even when faced with uncertainty and in the presence of danger or threat.
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