VAR is one of the most advanced, real-world examples of AI-assisted human decision-making at scale. Its evolution shows us exactly where technical review workflows are heading: faster decisions, automated detection, human override authority, transparent protocols, bias mitigation, and review systems built around consistency, not just speed.

This session breaks down what VAR has already learned the hard way—and how engineering teams can use those same lessons to build future-ready code review systems. We’ll examine real VAR technologies (semi-automated offside, multi-angle replay automation, decision protocols, calibrated thresholds) and convert them into concrete code review practices.

You will learn:

• Use Critical Thinking + Ethics Checkpoints to Evaluate AI Suggestions
• Define Clear AI–Human Decision Boundaries Using VAR’s Proven Approach
• Implement Practical AI Workflows for Faster, More Reliable PR Reviews