From Bias to Compliance: Enforcing a Just Digital Economy Through AI Accountability

AI bias is no longer a theoretical concern—it’s a quantifiable risk with real-world consequences. From travel bans to misdiagnosed patients to discriminatory hiring algorithms, biased decision-making is already baked into systems that touch millions of lives.

This session introduces FairwAI: a compliance-grade platform that scores and mitigates bias in real time, starting in hospitality and expanding into healthcare and hiring. But more than a tech demo, this is a conversation about how we embed justice into code—and create an enforcement layer for AI accountability that regulators, insurers, and enterprises can all adopt.

We’ll explore how FairwAI is working with law firms, insurers, engineers, and policymakers to turn AI fairness into a standardized, scalable, and certifiable part of doing business. With ESG fatigue rising and AI regulations imminent, this is the next compliance frontier—and the stakes are high.

Attendees will leave with a roadmap for operationalizing fairness, a framework for cross-sector collaboration, and insight into how we move from promises to protocols in the AI age.