Watch our vodcast on how AI can reduce risk in high-stakes benefits decisions
AI can reduce the risks employees face when making high‑stakes benefits decisions—premiums, deductibles, and long‑term health and financial trade‑offs—while keeping decision authority with the employee. To minimize error and liability, begin with a robust choice architecture so AI operates on a reliable foundation and can responsibly “carve a plausible path.” That means using AI to clarify technical terms, surface the most relevant, low‑risk options, and adapt as circumstances change so recommendations remain appropriate and defensible.
In this episode of “Transforming Benefits with Technology,” host Andrew Owens, with Ting Lye and Dr. Zoe Dimov, outlines practical risk‑mitigation steps: adopt clear design standards and explicit messaging about which data informs recommendations (and what data is absent), introduce “healthy friction” such as confirmation prompts and scheduled pauses to prevent automatic acceptance of advice, and position AI as an explainer and curator rather than an authoritative adviser—reducing the chance of harmful or inappropriate choices.
