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Exploring an AI Engineering Body of Knowledge

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Manage episode 341938186 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.

In this webcast, Carol Smith, Carrie Gardner, and Michael Mattarock discuss maturing artificial intelligence (AI) practices based on our current body of knowledge. Much as it did for software engineering in the 1980s, the SEI has begun formalizing the field of AI engineering, beginning with identifying three fundamental pillars to guide AI engineering: human-centered, scalable, and robust and secure. Watch to learn more about these pillars and how they can be used to help national defense and security agencies adopt and develop AI.

  continue reading

148 episodes

Artwork
iconShare
 
Manage episode 341938186 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.

In this webcast, Carol Smith, Carrie Gardner, and Michael Mattarock discuss maturing artificial intelligence (AI) practices based on our current body of knowledge. Much as it did for software engineering in the 1980s, the SEI has begun formalizing the field of AI engineering, beginning with identifying three fundamental pillars to guide AI engineering: human-centered, scalable, and robust and secure. Watch to learn more about these pillars and how they can be used to help national defense and security agencies adopt and develop AI.

  continue reading

148 episodes

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