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コンテンツは Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
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Exploring an AI Engineering Body of Knowledge
Manage episode 341938186 series 1264075
コンテンツは Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.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.
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Manage episode 341938186 series 1264075
コンテンツは Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.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.
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