AI Engineering: The National Initiative for Human-Centered, Robust and Secure, and Scalable AI
• Webcast
Publisher
Software Engineering Institute
Topic or Tag
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Abstract
According to recent estimates, around 85% of AI projects fail to move from conceptualization to implementation. Why are these failures happening, and how can we prevent them? AI engineering is an emergent discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts. The SEI is leading the national initiative to create an AI engineering discipline to operationalize human-centered, robust and secure, and scalable AI.
What Attendees Will Learn:
- the motivation for creating the field of AI engineering
- the current state of the art and possible research directions for human-centered, robust and secure, and scalable AI
- opportunities to get involved with the National AI Engineering Initiative
About the Speaker
Rachel Dzombak
Dr. Rachel Dzombak is an SEI alumni employee.
Dr. Rachel Dzombak is the digital transformation lead within the Emerging Technology Center at Carnegie Mellon University’s Software Engineering Institute. In this role, Dzombak works with organizations to realize the capability of artificial intelligence (AI) for mission outcomes. Additionally, Dzombak helps lead …
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Matt Gaston
Dr. Matt Gaston is the director of the AI Division at the Carnegie Mellon University Software Engineering Institute and the founding director of the SEI’s Emerging Technology Center. He also holds an appointment as an adjunct associate professor at the Carnegie Mellon University Institute for Software Research.
As the director …
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