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Content provided by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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AI Engineering: Ask Us Anything About Building AI Better

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Manage episode 302953297 series 1264075
Content provided by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Self-driving cars are being tested in our cities, bespoke movie and product recommendations populate our apps, and we can count on our phones to route us around highway traffic... Why, then, do most AI deployments fail? What is needed to create, deploy, and maintain AI systems we can trust to meet our mission needs, particularly for defense and national security? The SEI recently launched an AI Division to ensure that our researchers are working to address these hard questions. In this question and answer session, Dr. Rachel Dzombak and Dr. Matt Gaston share their points of view on what AI engineering is today and where the field is going. Learn about building AI better with the nascent discipline of AI Engineering and how the SEI plans to leverage the new AI Division to advance human-centered, robust and secure, and scalable AI systems.

What attendees will learn:

• How to find AI Engineering lessons in your own AI practices

• What’s needed to build an AI Engineering mindset on your team

• Leading AI Engineering practices

• How to engage with a national initiative dedicated to advancing the discipline of AI Engineering

• How the SEI is growing our portfolio of work in the AI Division

  continue reading

151 episodes

Artwork
iconShare
 
Manage episode 302953297 series 1264075
Content provided by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Self-driving cars are being tested in our cities, bespoke movie and product recommendations populate our apps, and we can count on our phones to route us around highway traffic... Why, then, do most AI deployments fail? What is needed to create, deploy, and maintain AI systems we can trust to meet our mission needs, particularly for defense and national security? The SEI recently launched an AI Division to ensure that our researchers are working to address these hard questions. In this question and answer session, Dr. Rachel Dzombak and Dr. Matt Gaston share their points of view on what AI engineering is today and where the field is going. Learn about building AI better with the nascent discipline of AI Engineering and how the SEI plans to leverage the new AI Division to advance human-centered, robust and secure, and scalable AI systems.

What attendees will learn:

• How to find AI Engineering lessons in your own AI practices

• What’s needed to build an AI Engineering mindset on your team

• Leading AI Engineering practices

• How to engage with a national initiative dedicated to advancing the discipline of AI Engineering

• How the SEI is growing our portfolio of work in the AI Division

  continue reading

151 episodes

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