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

Description: On August 29, 2022, the SOA Research Institute assembled an industry expert panel to discuss current issues in actuarial technology. This was the third time such a panel was assembled, and most panelists had participated in the previous discussions. Each participant volunteering for being part of the discussion was selected because of their management-level responsibilities for the application of technology in an actuarial context. The group was diverse in terms of employment, including company actuaries from life, health, and property/casualty backgrounds, as well as consultants from various kinds of firms. This panel included participants from outside the U.S. as well.

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

Description: This panel discussion examines functions for electronic computing machines, sharing use of larger machines with other companies and the admissibility of electronic equipment as a statement asset. From Transactions of Society of Actuaries 1960, Vol. 12, No. 33.

Description: Actuaries have a long history with stochastic modeling. Nested stochastic modeling is often used when the modeling components under each economic scenario are themselves determined by stochastic scenarios in the future. In this paper three methods have been suggested that can be added on top of existing enhancement methods to improve NSM efficiency.

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.

Description: This was a call for papers on the subject of 'Computers: The State of the Art and Its Implications for The Actuarial Profession,' for presentation at The 16th Actuarial Research Conference be held at University of Manitoba, Winnipeg, August 27-29, 1981. From ACTUARIAL RESEARCH CLEARING HOUSE 1980 VOL. 2.

Description: Presents a theoretical basis for a computerized methodology for estimating biological age - a measure of time to death.

Description: This paper is about a concept known as the 'rate of transmission of information' or, more simply, as the 'information rate.' The authors establish the equivalence of arbitrage-free economic systems and a generalized betting model in such a way that the interpretation of the information rate, as the maximum rate of increase of an investor's capital, is preserved. As a corollary to this result, they show that the difference in the information rate between models represents the achievable incremental return associated with the superior predictor model. From Actuarial Research Clearing House 1993, Vol. 3.

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