AI Engineering: A Foundation for Creating Scalable, Robust and Secure, and Human-Centered AI Systems
As the U.S. Department of Defense (DoD) increasingly invests in and deploys AI solutions, it has established the following priorities in its AI strategy:
“The present moment is pivotal: we must act to protect our security and advance our competitiveness, seizing the initiative to lead the world in the development and adoption of transformative defense AI solutions that are safe, ethical, and secure.”
In response, the Carnegie Mellon University Software Engineering Institute (SEI) is leading the creation of a professional AI engineering discipline to enable the DoD to realize the full benefit of AI for defense and national security and to provide a foundation for creating AI systems that are scalable, robust and secure, and human-centered.
Join Us on June 16, 2020
Scalability brings opportunities as well as engineering challenges. Wondering what's required to take your machine learning demonstration to a proven mission operational product/service? This session will provide a look at practical experiences with integrating AI into operations, engineering challenges for scaling AI – including bigger datasets, faster processing, repeatable results, and efficient compute—and practical steps on moving from theory to product.