AI Con USA 2026 - AI Governance
Thursday, June 11
The Master Control Policy Server: A Model-Agnostic Architecture for Enterprise LLM Governance and Risk Mitigation
As Large Language Models (LLMs) transition from conversational tools to autonomous AI agents capable of high-stakes, multi-step actions, the reliance on generalized, default safety alignment from model providers has become insufficient and often hazardous. This session addresses the critical need for application-specific, custom guardrails necessitated by persistent jailbreak vulnerabilities, the high cost of achieving effective fine-tuning alignment, and the challenge of enforcing proprietary organizational compliance (e.g., contextual PII protection or specific regulatory mandates unique...
Roll for Alignment: Building Responsible AI Systems Without Losing Your Humanity
Borrowing from tabletop games, this session transforms AI leadership into a live-action adventure. Each team faces challenges drawn from real-world case studies: biased data, budget cuts, regulatory chaos, and “move-fast” culture. Every choice (and dice roll) reveals how easily good intentions can drift into poor outcomes. You’ll leave understanding why alignment isn’t a compliance checkbox, it’s a continuous act of human judgment. Key takeaways include: experience on how small trade-offs create large ethical ripple effects, applying alignment frameworks that balance business speed with...