Stop treating AI governance as a review layer. Make it release infrastructure
Summary
The article argues that traditional AI governance models, where compliance is treated as a post-development review, are failing. Instead, AI governance should be integrated as 'release infrastructure' directly into the development pipeline, similar to practices observed in China.
IFF Assessment
This article highlights a current deficiency in AI governance practices, suggesting that existing approaches leave systems vulnerable by not integrating security and compliance early enough in the development lifecycle.
Defender Context
Defenders need to understand that AI systems are dynamic and traditional security and compliance reviews after development are insufficient. Organizations should advocate for embedding governance and risk management checkpoints directly into the AI release pipeline to proactively address potential security and ethical risks as they emerge.