Instruction: Discuss the balance between personalized pricing models and the potential for discriminatory outcomes.
Context: This question examines the candidate's ability to navigate the ethical landscape of using AI in developing personalized insurance pricing while safeguarding against discriminatory practices.
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The way I'd explain it in an interview is this: Insurance pricing models create ethical tension because they can make pricing more granular while also making it easier to encode structural disadvantage. If the system uses proxies for protected traits or socioeconomic inequality, it can look actuarially...
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