The Hidden Cost of Confident AI: Semantics, Guardrails, and the Context Layer

The discussion led by Isaac Sacolick focused on AI challenges, particularly the "hallucination tax," emphasized by Felix Van de Maele, CEO of Collibra. Contributors highlighted the importance of governance, context engineering, and policy to mitigate AI failures and improve trust. Future topics included AI existential risks and economics. Chapters

(00:00:00) - Introduction and September 11th reflection
(00:01:59) - Research data on agentic AI failures and governance gaps
(00:04:42) - Introducing Felix Van de Maele and hidden AI costs topic
(00:05:42) - Defining the hallucination tax
(00:08:28) - Trust, employee analogy, and human oversight
(00:11:06) - Measuring the hallucination tax and feedback loops
(00:13:08) - Liz's question on managing context and reducing token usage
(00:14:33) - Building and maintaining context as a living artifact
(00:17:50) - Derek on AI debt and confidence risks
(00:20:16) - AI policies, guardian agents, and enforcement
(00:22:19) - Deep dive into the context layer and its fragmentation
(00:26:19) - Joe on communicating AI concepts and instilling doubt in agents
(00:31:51) - Sponsor break: Collibra as the enterprise AI control plane
(00:32:40) - Defining and evolving the semantic layer
(00:36:04) - Martin's industrial revolution analogy and guide rails
(00:39:23) - Joanne's agentic A-list framework for governance
(00:44:54) - Implementing AI governance in practice
(00:49:10) - Clarifying Collibra's AI governance offering
(00:52:35) - Trust, provenance, and lineage as governance foundation
(00:55:00) - Closing thoughts: business case, layered governance, and closing remarks

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