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link to Proxy Discrimination in Insurance Models

Proxy Discrimination in Insurance Models

Lately, there's been a lot of talk about how insurance companies use computer models to figure out who pays what. It makes sense, right? They need to assess risk. But sometimes, these models can...

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link to Predictive Fraud Scoring Systems

Predictive Fraud Scoring Systems

Dealing with insurance fraud is a big headache, right? It costs everyone more money and makes things complicated. That's where fraud scoring predictive systems come in. These systems are basically...

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link to Modeling Claims Frequency Prediction

Modeling Claims Frequency Prediction

When we talk about insurance, a big part of it is figuring out how often claims might happen. This isn't just a random guess; it's a whole process called claims frequency prediction modeling. It...

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link to Improving Accuracy Through Data Enrichment

Improving Accuracy Through Data Enrichment

You know, when it comes to insurance, getting the underwriting right is a pretty big deal. It's all about figuring out just how risky someone or something is before you agree to cover them. For a...

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link to Calibrating Usage-Based Insurance

Calibrating Usage-Based Insurance

Figuring out how to price insurance based on how people actually use things, like their cars, is a big deal right now. It's called usage-based insurance calibration, and it's changing how insurers...

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link to Detecting Bias in Underwriting Systems

Detecting Bias in Underwriting Systems

Figuring out if insurance underwriting systems are playing fair can be a real puzzle. These systems, especially the automated ones, are supposed to be objective, but sometimes they end up treating...

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