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Bias and Insurance - The Current State of Practice

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Description

PLEASE NOTE: REGISTRATION WILL CLOSE 10 AM ET THE DAY OF THE WEBINAR. DUE TO HIGH VOLUME OF DEMAND, WE ARE ONLY ABLE TO GUARANTEE A SEAT TO THOSE WHO REGISTER 48 HOURS AHEAD OF THE WEBINAR TIME.

Recent shifts in demands from consumers, stakeholders, legislatures, and regulators have created a need for insurers to re-examine current practices for bias, particularly regarding the use of models and algorithms. In this webinar, we will discuss ways in which insurers and actuaries are starting to approach this topic, including methods to quantify and identify bias (and corresponding challenges), as well as the future outlook.

Learning Objectives:

  1. Understand the unique challenges insurers encounter when evaluating models for bias compared to other industries.
  2. Describe several tools and methodologies that can be used to identify and detect bias as well as their strengths and weaknesses.
  3. Identify and explain the limitations and considerations when conducting an analysis to assess for bias.
Registration Information and Fees

PLEASE NOTE: REGISTRATION WILL CLOSE 10 AM ET THE DAY OF THE WEBINAR

Registration Fees (in U.S. Dollars) Received on/by
November 30, 2023
Received after
November 30, 2023
Individual $50 $75
Multiple Connections**
(Unlimited internet connections for individuals working for the same company. Please note that audio for this presentation will be streamed via the web)
$600 $650

*Multiple Connection Registrations should contact Mallory Peebles directly at
mpeebles@casact.org. The registering party for the Multiple Connection Registration will be responsible for distributing all event details to attending individuals within their company.

No Broadcast Policy
Your registration entitles you to access CAS’ webinar programs for which you have registered. By registering to attend the webinars, you agree not to sell, transfer, or otherwise share your webinar access link and/or code unless such sharing is authorized by CAS. You further agree not to record or broadcast CAS’ webinar programs without advance written authorization by CAS.

Cancellations/Refunds
Registrations fees will be refunded for cancellations received in writing through email, refund@casact.org, by December 7, 2023 less a $25 processing fee.

CAS Continuing Education Policy
The CAS Continuing Education Policy applies to all ACAS and FCAS members who provide Actuarial Services. Actuarial Services are defined in the CAS Code of Professional Conduct as “professional services provided to a Principal by an individual acting in the capacity of an actuary. Such services include the rendering of advice, recommendations, findings or opinions based upon actuarial considerations.” Members who are or could be subject to the continuing education requirements of a national actuarial organization can meet the requirements of the CAS Continuing Education Policy by satisfying the continuing education requirements established by a national actuarial organization recognized by the Policy. For further information regarding the CAS Continuing Education Policy please visit the CAS web site.

CAS Webinars may qualify for up to 1.8* CE Credits for CAS members.
Participants should claim credit commensurate with the extent of their participation in the activity. CAS members earn 1 CE Credit per 50 minutes of educational session time, not to include breaks and/or lunch. *The amount of CE credit that can be earned for participating in this activity must be assessed by the individual attendee. It also may be different for individuals who are subject to the requirements of organizations other than the Casualty Actuarial Society.

Contributors

  • Eric Krafcheck

    Eric Krafcheck is a Fellow of the Casualty Actuarial Society, a Certified Specialist in Predictive Analytics, a Member of the American Academy of Actuaries, and a Principal and Consulting Actuary in Milliman’s Milwaukee office.

    Eric’s primary area of expertise is in ratemaking and ratemaking applications, including pricing and product development; developing class plans; evaluating rating plans for disparate impacts on protected classes; completing competitive analysis; and providing filing and implementation support. In developing classification plans, Eric has experience building and applying generalized linear models and machine learning techniques to various personal and commercial lines of business.

    Over the past several years, Eric has assisted several of the largest national multi-line personal insurers on the topic of model bias and disparate impact. He is actively involved in the CAS’s Race and Insurance Research Task Force and has presented on the subject multiple times to the NAIC and at various conferences

December 14, 2023
Thu 12:00 PM EST

Duration 1H 30M

This live web event has ended.

For Content or Purchase Questions
(703) 276-3100
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