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In Episode 177 of the AIAW Podcast, we sit down with Magnus Hyttsten, former Google AI Engineering Lead and EU AI Act specialist, for a grounded and timely conversation on AI quality, security, and compliance at enterprise scale.
Drawing on his experience building generative AI evaluation systems at Google, Magnus breaks down the real challenge of defining “quality” in non-deterministic models and explains why robust evaluation frameworks, engineering discipline, and governance are becoming mission-critical.
We explore the EU AI Act as a potential accelerator for trustworthy innovation rather than a constraint, unpack common security blind spots in enterprise AI strategies, and look ahead to what responsible AGI development might require.
If you’re serious about moving from AI experimentation to secure, production-ready systems, this episode is essential listening.
Follow us on youtube: https://www.youtube.com/@aiawpodcast
By HyperightIn Episode 177 of the AIAW Podcast, we sit down with Magnus Hyttsten, former Google AI Engineering Lead and EU AI Act specialist, for a grounded and timely conversation on AI quality, security, and compliance at enterprise scale.
Drawing on his experience building generative AI evaluation systems at Google, Magnus breaks down the real challenge of defining “quality” in non-deterministic models and explains why robust evaluation frameworks, engineering discipline, and governance are becoming mission-critical.
We explore the EU AI Act as a potential accelerator for trustworthy innovation rather than a constraint, unpack common security blind spots in enterprise AI strategies, and look ahead to what responsible AGI development might require.
If you’re serious about moving from AI experimentation to secure, production-ready systems, this episode is essential listening.
Follow us on youtube: https://www.youtube.com/@aiawpodcast

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