04 - Balanced Intelligence: Managing Bias in Using Machine Learning and AI in Actuarial Practices

Bias testing and controlling has always been an important part of actuarial practices, but as machine learning and artificial intelligence become more prevalent in our work, the quest has evolved. With technology increasingly functioning as “black boxes,” bias could be harder to detect yet more critical to control. This session brings together perspectives from actuaries, technical experts and independent industry voice, and discusses practical approaches to bias detection, testing, and governance in AI-driven actuarial work.

Speakers:

David Friesen

Standard

James Dolstad

Optum

Merage Ghane

Mr. Joseph L. Wurzburger

Society of Actuaries

Sherry S Chan

Ernst & Young

Credits:

CPD Credit: 1.50 EA Core Credit: 0.00 EA Ethics Credit: 0.00 EA Non-Core Credit: 0.00 EA Formal Credit: 0.00