Description: The COVID-19 pandemic initially caused some health care services to shift away from in-person transactions to a digital form, including telehealth, e-mails, remote patient monitoring and other forms of communication. If sustained, numerous effects and counter-effects both in the cost and quality of care as well as long-term outcomes for patient health may emerge.

Description: This research assesses the evolution of life insurers’ Actuarial Transformation efforts and the future outlook, with a focus on emerging Advanced Analytics techniques.

Description: Zero-Knowledge Proofs (ZKPs) represent an innovative suite of cryptographic algorithms that validate the accuracy of sensitive information without revealing the actual information itself. This report introduces the diverse applications and emerging opportunities that ZKPs offer to the insurance community, especially in the health insurance space.

Description: The Society of Actuaries (SOA) sought to investigate methodologies and characteristics associated with actuarial innovation, aiming to expand the industry’s capabilities for creativity. The SOA engaged Milliman to conduct in-depth interviews and focus groups with select actuaries who have demonstrated innovative skills, in order to derive key behaviors and characteristics that encourage innovation.

Description: View the Avoiding Unfair Bias in Insurance Applications of AI Models - Chinese

Description: The global doubling of information content has been estimated to occur at a rate of every 12 hours, and conceivably faster. This ‘infowhelm’ is a double-edged sword for insurers. While maximization of the global knowledge base can fuel innovation, it can occur only in the context of reasonable cost for a higher benefit. The insurance industry – underwriters and actuaries in particular – are challenged to constantly examine new innovations that promise to raise confidence and protective value for insurability, within legal limits. This report aims to be the first of several to alert the SOA of promising innovations for the profession.

Description: View the Data Challenges in Building a Facial Recognition Model and How to Mitigate Them

Description: Bias Awareness in Model Governance

Description: View the Zero-Knowledge Proofs: Emerging Opportunities for the Insurance Industry research report.