This episode of the Ecosystem Show explores the world of chaos engineering in AI governance. It challenges traditional mindsets and discusses innovative approaches for managing AI-infused container apps and large language models. The episode emphasizes the importance of transparency, rigorous testing, and ethical discussions in governing non-deterministic AI solutions. It also addresses issues of liability and accountability when AI-generated content goes wrong. The role of good data and observability in AI and AIOps is highlighted, along with the evolving role of citizen developers in the AI landscape. The episode concludes with strategies for staying updated in the world of AI and a demonstration of Napkin AI, a tool that transforms written content into visual diagrams.
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