E66 - Chris Dolman - Practicalities and Opportunities of Ethical AI

Chris Dolman is the EM, Data and Algorithmic Ethics at Insurance
Australia Group (IAG). IAG (ASX:IAG) is the largest general
insurance company in Australia and New Zealand.


Chris joined IAG as Manager, Insurance Liabilities in 2010. Since
then, Chris has held various senior leadership positions across
the company, including analytics director and GM analytics. Over
the years, his responsibilities have included oversight of the
insurance liabilities, pricing, regulatory engagement, actuarial,
finance, reinsurance, risk and capital.


Presently, he is helping IAG to ensure that data-driven
decisioning algorithms operate under clearly defined standards.


He thrives on exploring the critical ethical and philosophical
questions about the use of AI technologies. He is constantly
engaged in volunteer activities with Actuaries Institute
Australia and professional events to promote the responsible use
of data and AI. He is also heavily engaged in various research
initiatives with organisations and academia on related aspects of
ethical AI.


Chris was a pivotal force in setting up and developing the data
science capabilities at IAG. He is also a pioneer of paving the
way for the company in greater use of algorithmic decision
making. He led IAG's analytics function in its early inception
and instigated projects which ultimately realised multi-million
dollar benefits across organisational verticals.


Chris won the 2021 All-Actuaries Summit Melville Prize for his
paper discussing IAG’s Australian AI Ethics Framework project
that he led. He also won the Melville Actuaries Summit Prize 2020
and Actuaries Institute "Spirit of Volunteering Award" 2020.


In this exclusive episode, Chris shares with us:


How his academic background in mathematics and the
problem-solving skills that he acquired helps him with data
analytics in the insurance industry.

How the younger generation can develop their career in the
field of data analytics and ethical AI.

Chris also shares his paper on IAG’s Australian AI Ethics
Framework and how to incorporate this framework.

The aspect of the size of data sets and the impact of size on
the AI systems from the ethical perspective.

What’s important in designing the systems to ensure the
ethics are incorporated

He explains all these with case studies and examples from the
insurance industry, like pricing analytics and the use of AI in
claims assessment.

The social impact and the customer impact of ethical
AI.

Frameworks and conceptual tools that Chris and his team have
developed at IAG.

How other industries can learn from the insurance industries’
data-driven systems and ethical AI practices.

Creating the balance between driving the business growth vs
the impact on society.

How the engineers and senior managers can make the right
decision while designing your business IT systems.



If you are a senior business leader, who has been wanting to
implement AI in your organisation, but you are equally concerned
about the bias and ethical issues surrounding it, this is the
episode you should not miss.

BusinessAnalytics, AIEthics, DataAnalytics, InsuranceAnalytics,
DataScience