Description: In the insurance industry, machine learning models are increasingly used to make decisions that affect people's lives. In order to ensure that models are fair, they should be audited for bias. There are no hard and fast rules for bias audit; metrics that can be used to evaluate fairness vary depending on the context in which the model is deployed. In this session, we present a flexible framework that highlights key considerations in bias evaluation that can be adjusted to suit your process. In this session, we will learn about different metrics to assess fairness, discuss open source tools that can be used for bias audit, and walk through a case study.

Description: The September 2014 Issue of the Financial Reporting Section's newsletter, The Financial Reporter

Description: Writing articles is not as hard as most people think, but it does take some thought and planning. This article gives practical tips about how to put "pen to paper" and write an effective article.

Description: This paper considers the question of whether the growth in the size of financial statements witnessed over the last several years has yielded an increase in the quality of disclosure around issues of financial risk and to what extent this disclosure is satisfying the perceived needs of readers of the financial statements, as represented by the investment analyst community.

Description: This article introduces IT DevOps to actuaries and how it is applicable to them to improve their modeling efforts and make them more efficient.

Description: Chairperson’s column discussing a few of the important initiatives of the Financial Reporting Section

Description: Highlights of the 2013 initiatives and accomplishments of the Society of Actuaries.

Description: How insurers can build trust with the customers, particularly in the context of micro-insurance.

Description: In this essay, we focus on the “Prospective Solvency Assessment” aspect of the NAIC’s ORSA. This places a spotlight on an insurer’s strategic decision making from a risk and capital management perspective. It requires those in senior management to describe actions they would take to address possible adverse changes in their risk and solvency position, i.e., what they would do to reduce risk, increase capital, and/or adjust the business strategy. We contend that by applying a slightly broader scope than the specific requirements of the NAIC’s ORSA, insurers can develop this into a valuable process to support risk-based decision making. In this essay, we initially consider how to determine which metrics to include in such a process and then discuss some important business requirements and practical challenges for implementing a calculation approach to support it. Part of the essay collection "Risk Metrics for Decision Making and ORSA"

Description: Issue introduction and theme of how to improve our technical skills and soft skills to better cope with a rapidly changing world.