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The Institute and Faculty of Actuaries (IFoA), the UK's professional association for actuaries, has been encouraging education and training in these techniques among its members and recently launched a data science certification The objective of this research is to learn more about the role of AI/ML in UK actuarial modelling practices across pensions, life insurance, general insurance, and wider fields (e.g., banking and investment). It will also compare the extent of AI/ML deployment by the actuarial profession with that of other similar professions. The overall purpose of the research is to improve our understanding of new risks that AI/ML might bring to the quality of actuarial work. To do this, the research will address the following four areas of enquiry: 1. Areas of use: Which actuarial departments are involved in using AI and ML techniques in their work? 2. Approach: What approach(es) and technique(s) are used? How are they selected? 3. Governance: What is the governance process around the use of AI and ML techniques as compared to the governance process around the more traditional techniques? 4. Output: How do the areas of use, approach and governance of AI and ML impact on a. the way outputs are used internally by a company, and b. the uncertainty around the actuarial modelling results using AI/ML, as compared to the uncertainty around results from the more traditional approaches? ***AWARD NOTICE*** Additional information: THIS IS A CONTRACT AWARD NOTICE. 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