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Session 17: ALL - Auditing your Models for Bias
Session 17: ALL - Auditing your Models for Bias In the insurance industry, machine learning models are increasingly ... to evaluate fairness vary depending on the context in which the model is deployed. In this session, we ...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.
Hide- Authors: Boyang Meng, Cynthia Clement
- Date: Sep 2019
- Competency: Communication; Strategic Insight and Integration
- Topics: Actuarial Profession>Best practices; Actuarial Profession>Management skills; Annuities
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GLM and its application in life insurance
GLM and its application in life insurance This practical session would provide a technical ... in solving business problems in life insurance. The session would also focus on recent real-world case-studies ...Description: This practical session would provide a technical overview about GLM techniques and describe how GLM can be applied as a business tool in solving business problems in life insurance. The session would also focus on recent real-world case-studies across different functional areas like pricing, fraud detection, underwriting and product development.
Hide- Authors: Anilraj Pazhety
- Date: Sep 2019
- Competency: External Forces & Industry Knowledge; Results-Oriented Solutions; Strategic Insight and Integration; Technical Skills & Analytical Problem Solving
- Topics: Life Insurance; Predictive Analytics