Description: An overview of bias and fairness in machine learning models, as they apply to use cases in life insurance.

Description: Discusses the recent firing of the Social Security Commissioner and the president's legal authority to do so.

Description: This article explores recent regulatory developments, in the U.S. and the E.U. related to artificial intelligence, and briefly discusses steps insurers can take to get ahead of the curve.

Description: Two years ago, before COVID-19 changed everything about how we provide and receive health care, telehealth was largely provided by third-party vendors to treat a narrow range of acute one-and-done conditions. The value proposition was simple: a fast and easy member experience would drive satisfaction and engagement; high member satisfaction and engagement would drive health plan savings and member retention. Clearly, from the perspective of utilization, telehealth—as a viable alternative to in-person care during a pandemic—worked. And with COVID-19’s nudge—or was that a push?—toward cultural acceptance, the health care system is in a better position to capitalize on telehealth’s original promise of expanded access, lower cost and better outcomes than it was two years ago. But in the wake of the pandemic, it is just as clear to us that if telehealth is to live up to its full potential, some changes are needed. The rest of this article presents five ideas for improving the delivery of telehealth going forward.