Driven by Data: An expert’s take on ethical AI

Women working at a desk with multiple screens showing coding.

Claim your CPD points

The potential uses of artificial intelligence (AI) expand on a near-daily basis. And throughout his influential actuarial career to date, Chris Dolman has researched the vast possibilities of AI and how it can be used in an ethical manner.  

Chris joins Meg Yang on the Driven by Data podcast to discuss his background as an actuary, his extensive AI research, and the benefits and pitfalls of AI.

Tune in for the latest in the world of data analytics as experts from within and beyond the actuarial profession join Meg Yang for exclusive interviews.

Listen to the podcast

Read the transcript

Chris Dolman

Chris Dolman.

Chris Dolman.

Chris Dolman is currently Director, Data and Algorithmic Ethics at IAG, helping to ensure that modern decision-making algorithms and other advanced uses of data are designed and implemented in an ethical, responsible and thoughtful way.

Prior to this, Chris held a variety of senior management positions in the insurance industry and consulting, in Australia and the UK. Chris is a Fellow of the Actuaries Institute, a Gradient Institute Fellow and an active member of the Actuaries Institute's Data Analytics and General Insurance Practice Committees.

Listen to more Actuaries Institute podcasts.

About the authors
Actuaries Institute
The Actuaries Institute is committed to promoting the actuarial profession and provides expert comment on public policy issues that exhibit uncertainty of future financial outcomes.
Chris Dolman
Chris Dolman is working to ensure that AI and other data-driven decisions operate responsibly, thoughtfully and ethically. He is an active member of the Institute’s General Insurance and Data Science Practice Committees, and was the 2022 Actuary of the Year.
Meg Yang
Meg is a consultant at Finity Consulting, specialising in general insurance pricing. Meg also had experience in retirement benefit consulting previously. She is interested in data analytics and is a member of the young data analytics working group.