AI harms rarely begin as failures of technology. They begin as failures of accountability.
The AI Harms Risk Register is a practical framework for identifying, tracking, and remediating the real-world harms AI systems can create. It transforms invisible risks into owned actions by connecting every harm to evidence, accountability, remediation, and measurable outcomes.
From biased hiring and unsafe medical recommendations to inequitable credit decisions and inaccessible digital services, the register helps organizations move beyond compliance and into continuous improvement. Every risk is documented. Every action has an owner. Every fix requires proof.
Because AI doesn't become fairer through policy statements alone. It becomes fairer when harms are found, owned, measured, and resolved.
Why It Matters
AI can scale a good decision to millions of people.
It can also scale a bad decision just as fast.
Most organizations track outages, defects, incidents, and security risks.
Few track the human harms their AI systems create.
The AI Harms Register closes that gap.
It makes harm visible, assigns ownership, requires evidence, and tracks remediation until outcomes improve. Because when harm has no owner, it becomes someone else's reality. When it has an owner, it can finally be fixed.