Fei Huang Keynote Speaker

  • Award-winning expert in AI, insurance, and risk analytics
  • Advisor to regulators on responsible AI in insurance
  • ARC-funded researcher shaping policy and practice

Fei Huang's Biography

Dr. Fei Huang is an Associate Professor (with tenure) of Risk and Actuarial Studies at UNSW Business School. She holds degrees from Xiamen University (BSc), the University of Hong Kong (MPhil), and the Australian National University (PhD). 

Her research sits at the intersection of responsible AI, insurance, and data-driven decision-making, with a focus on ensuring that insurance and retirement income systems remain fair, sustainable, and resilient amid technological and climate change. She works across statistics, machine learning, economics, and actuarial science to develop insurance and retirement solutions that are accurate, interpretable, and equitable. 

Her work has received multiple awards from both academic and professional bodies, including the Australian Business Deans Council Award for Innovation and Excellence in Research, the Dean’s Award for Distinction (the highest individual honour), the North American Actuarial Journal Best Paper Award, and the Actuaries Institute’s Volunteer of the Year Award, and is supported by major competitive funding such as Australian Research Council Discovery Projects and the National Industry PhD Program. 

Fei is a leading voice in the profession on responsible AI in insurance, serving as a columnist for Actuaries Digital and working widely with industry and government on issues ranging from fairness in pricing to longevity risk and climate resilience. Her work bridges research, policy, and practice, shaping regulatory thinking and supporting the responsible use of data-driven decision systems. She has advised regulators internationally, including serving as an invited expert providing testimony to the New York State Assembly Public Hearing on AI in Insurance. She teaches actuarial data science and responsible AI at UNSW, where she has been recognised with multiple teaching excellence awards.

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Fei Huang's Speaking Topics

  • Responsible AI in insurance and financial services

  • Fairness, ethics, and transparency in algorithmic decision-making

  • Climate risk and resilience in insurance systems

  • Longevity risk and the future of retirement income

  • Data-driven innovation in actuarial science and risk management

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Why Book Fei Huang as a speaker?

  • She is a leading expert on responsible AI in insurance, advising regulators, industry and government on fairness, pricing and the future of data-driven decision-making.

  • She translates complex intersections of machine learning, actuarial science and economics into clear guidance for organisations navigating risk, regulation and technological change.

  • She combines award-winning academic research with real-world advisory work to shape policy and practice on longevity risk, climate resilience and sustainable insurance systems.

  • She equips leaders with the tools to implement AI responsibly, ensuring decisions are transparent, equitable and aligned with long-term financial and societal outcomes.

Videos of Fei Huang

Antidiscrimination Insurance Pricing: Regulations, Fairness Criteria, and Models
Towards Fairer Retirement Outcomes: Socio-Economic Mortality Differentials in Australia
Why You Should Not Trust Interpretations in Machine Learning
Model Risk Management and Ethical AI Adoption

Articles, Media & Podcasts

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