Sixfold Releases New Responsible AI report

Balancing things like data sharing, credit scoring or insurance premium rates, with local regulator compliance is a tricky business. But it has to be done if AI is going to accelerate insurance sector efficiency;

Sixfold, the AI underwriting platform used by leading life, health, and P&C insurers, today announced the release of its ‘Responsible AI Report 2025’, detailing how insurers can adopt, govern, and scale AI in line with evolving global regulations.

With the EU AI Act and Colorado AI Act entering full enforcement in 2026, insurers will soon be required to demonstrate fairness, oversight, and control across their AI systems.

“Compliance has shifted from principle to proof,” said Jane Tran, COO of Sixfold. “Regulators are no longer asking whether insurers have AI policies. They’re asking companies to show how models are governed, how bias is managed, and how oversight works in practice. Our report shows insurers how to operationalise that for ease of compliance.”

The report defines five core pillars of Responsible AI that insurers can adopt or benchmark against:

1. Bias prevention & fairness – fairness testing and controls that prevent reliance on protected attributes

2. Model testing & validation – structured accuracy, robustness, and drift monitoring with human oversight

3. AI governance & risk management – a governance programme aligned with global requirements

4. Data security & integrity – SOC 2 Type II and HIPAA-aligned security, strict isolation, and data stewardship

5. Explainability & transparency – clear traceability from model output to source evidence

“Insurers need systems they can defend to auditors and regulators,” said Alex Schmelkin, CEO of Sixfold. “We built accountability into our daily operations so carriers can demonstrate continuous assurance – not one-time compliance.”

Alex Schmelkin has spoken alongside regulators from the NAIC, Colorado Division of Insurance, and Nebraska Department of Insurance, and serves on NAIC Committee H, focused on AI and emerging technology governance.