An Actuarial View of Data Bias: Definitions, Impacts and Considerations
Dec. 5, 2023 | Noon to 1:30 p.m. EST | USQS CE Available
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ABOUT THIS WEBINAR
A continuation on the previously published issue brief and part of the Data Science and Analytics Committee (DSAC) series, Additional Considerations in Data Science, this webinar examined the key types of data bias that actuaries may encounter and focused on the kinds of biases found in modeling data and the implications for algorithmic outcomes.
SPEAKERS
- Dorothy L. Andrews, Ph.D., MAAA, ASA, CSPA
Chairperson, Data Science and Analytics Committee - Shawna Ackerman, MAAA, FCAS
Member, Data Science and Analytics Committee - Dennis Kapylou, MAAA, FSA
Member, Data Science and Analytics Committee - Liaw Huang, MAAA, FSA, FCA, EA
Member, Data Science and Analytics Committee - Reese Mularz, MAAA
Member, Data Science and Analytics Committee
CONTINUING EDUCATION
The American Academy of Actuaries believes in good faith that attendance at this live webinar constitutes an organized activity as defined under the current Qualification Standards for Actuaries Issuing Statements of Actuarial Opinion in the United States, and that attendees may earn up to 1.8 bias CE credits for attending this live webinar. Attendees of the webinar can count this toward the U.S. Qualification Standards (USQS) requirement of annual bias education.
QUESTIONS
For information about this webinar, contact education@actuary.org.
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