About
A practical framework for Responsible AI in algorithmic pricing
About the author
Dr. Fei Huang
Dr. Fei Huang is an Associate Professor (with tenure) in 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 emphasis on insurance and retirement systems that stay fair, sustainable, and resilient amid technological and climate change. She draws on statistics, machine learning, economics, and actuarial science to develop approaches that are accurate, interpretable, and equitable.
Her work has been recognised with awards including the Australian Business Deans Council Award for Innovation and Excellence in Research, the Dean’s Award for Distinction, the North American Actuarial Journal Best Paper Award, and the Actuaries Institute Volunteer of the Year Award, and is supported by competitive funding such as Australian Research Council Discovery Projects and the National Industry PhD Program. She is a columnist for Actuaries Digital, works with industry and government on topics from fair pricing to longevity and climate resilience, and has advised regulators internationally, including as an invited expert at the New York State Assembly public hearing on AI in insurance. At UNSW she teaches actuarial data science and responsible AI and has received multiple teaching excellence awards.
Selected talks
| Year | Event | Links |
|---|---|---|
| 2026 | Invited Speaker, IAIS – International Association of Insurance Supervisors Market Conduct Working Group | |
| 2026 | Plenary Speaker, Actuarial Research Conference, Ohio State University | |
| 2026 | Plenary Speaker, China International Conference on Insurance and Risk Management (CICIRM), Tsinghua University | |
| 2026 | Insight Session, Actuaries Institute of Australia | Recording · Slides |
| 2026 | Responsible AI and Analytics for Insurance Workshop, Wharton School, University of Pennsylvania | Recording |
Media coverage
Huang, F. (2026). Insurance pricing: fair tests for algorithm discrimination. BusinessThink, UNSW Sydney.
How to cite
Citing the website (archived version on Zenodo)
Huang, F. (2026). The Fair Pricing Playbook: A practical framework for Responsible AI in algorithmic pricing (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.20879782
@misc{huang2026fairpricingplaybook_website,
title = {The Fair Pricing Playbook: A practical framework for
Responsible AI in algorithmic pricing},
author = {Huang, Fei},
year = {2026},
version = {v1.0.0},
publisher = {Zenodo},
doi = {10.5281/zenodo.20879782},
url = {https://doi.org/10.5281/zenodo.20879782}
}License
Materials are licensed under CC BY-NC-ND 4.0. See LICENSE.
Development note
This project was developed with support from AI coding assistants. All analysis, content decisions, and conclusions are the author’s own and her responsibility.