- Search Topic
- My search topic is the use of explainable artificial intelligence in setting premium rates for insurance policies.
- Database: Applied Science & Technology Abstracts
- Search: “explainable artificial intelligence” in the abstract
- Results: 17
- These results were mostly helpful and relevant.
- Search: “explainable machine learning” in the abstract
- Results” 9
- These results looked relevant but they also seemed to be complex and industry-specific, so it might be hard to learn from them.
- Results” 9
- Search: “explainable artificial intelligence” in the abstract
- Database: Computer Source
- Search: “explainable artificial intelligence” in the abstract
- Results: 6
- Many of these results were the same sources I found in the first search I did for explainable artificial intelligence. The small number of results isn’t ideal but I should be able to find one or two sources that are useful.
- Search: “explainable machine learning” in the abstract
- Results” 9
- These results were also very similar to my first search for explainable machine learning, but some could be useful.
- Results” 9
- Search: “explainable artificial intelligence” in the abstract
- Saturation
- I think that I have found a small number of useful sources, but I don’t think that I will be able to find very many more.
- Annotated Bibliography
- Kuo, K., & Lupton, D. (2020, March 24). Towards explainability of machine learning models in insurance pricing. arXiv.org. Retrieved May 10, 2022, from https://arxiv.org/abs/2003.10674
- This source discusses in-depth many of the factors associated with explainable AI models for insurance rate-setting. It also describes the history of AI in the insurance industry and what rate-setting methods are used currently.
- Śmietanka, M., Koshiyama, A., & Treleaven, P. (2021, March 15). Algorithms in future insurance markets. SSRN. Retrieved May 10, 2022, from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3802462#
- This source describes the potential that AI has in the insurance industry as well as some of the ML methods currently being used.
- Maier, M., Carlotto, H., Saperstein, S., Sanchez, F., Balogun, S., & Merritt, S. (n.d.). Improving the accuracy and transparency of underwriting with AI to transform the life insurance industry. AI Magazine. Retrieved May 10, 2022, from https://ojs.aaai.org/index.php/aimagazine/article/view/5320
- This source describes what AI can offer the life insurance industry. It also describes one method of interpretable AI that can be used for life insurance.
- Balasubramanian, R., Libarikian, A., & McElhaney, D. (2021, July 1). Insurance 2030–the impact of AI on the future of Insurance. McKinsey & Company. Retrieved May 11, 2022, from https://www.mckinsey.com/industries/financial-services/our-insights/insurance-2030-the-impact-of-ai-on-the-future-of-insurance#:~:text=The%20disruption%20from%20COVID%2D19,and%20upgrade%20their%20online%20channels.
- This source describes some of the potential applications of AI in insurance that could be seen this decade.
- Kuo, K., & Lupton, D. (2020, March 24). Towards explainability of machine learning models in insurance pricing. arXiv.org. Retrieved May 10, 2022, from https://arxiv.org/abs/2003.10674