AI Engineering: The National Initiative for Human-Centered, Robust and Secure, and Scalable AI
April 2021 • Webinar
Rachel Dzombak, Matt Gaston, Frank Redner
In this webcast, Rachel Dzombak, Matt Gaston and Frank Redner discuss the national initiative for human-centered, robust and secure, and scalable AI.
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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