Description: Exploring how artificial intelligence can enable insurance to expand into new places with new insights.

Description: Read this report to learn more about interpretable machine learning techniques for health insurance fraud detection.

Description: Regular update provided by the Chair of the Joint Risk Management Section on initiatives put forth by the section council for the current year.

Description: Short Form Professional Development Videos - Explaining AI Black Box Part 1 Recording

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

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

Description: How the speed of change is accelerating and how we could react to this as a profession.

Description: A literature review report that looks at research on how artificial intelligence is used in actuarial work.

Description: Healthcare cost is increasing at 9.3% in Asia in 2017 and health insurance cost will eventually catch up, making healthcare unaffordable to aging populations. Inefficiency in healthcare system is a contributing factor. In this session, use cases on how AI is impacting the health insurance operations on 3 core challenges. Document processing: A lot of documents are generated in the healthcare ecosystem, medical reports, diagnosis, invoices etc. Currently most of the documents are still reviewed manually and rely heavily on users’ judgement. Customer engagement: Customers are generally under distress and feel rejected during the claim process. It is due to the time and process needed to get the information they look for, the gap between the sales and claims process, and the reimbursement amount. Claim settlements: Claim adjudication is a technical process that review the disease, treatment and policy coverage. The process is specific to disease and difficult to be generalized. Thus, the process is far from consistent and invites fraud, abuse and wastage in this area.

Description: The purpose of this report is to demonstrate how artificial intelligence applications have grown since their infancy and invite the reader to consider the vast data at our disposal for the future.