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Draft as of November 2024PRICE DISCRIMINATION DISCRIMINATION Talia B. Gillis* Credit price personalization, where lenders set prices based on individual borrower and loan characteristics, is a common

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What is 'big data and discrimination'?

Big data and discrimination refers to the ways in which large datasets can reveal discriminatory practices or biases in various sectors, such as employment, finance, and housing, by analyzing patterns in data that may lead to unfair treatment of individuals or groups.

Who is required to file 'big data and discrimination'?

Organizations and entities that collect, analyze, or utilize large datasets, particularly those involved in decision-making processes that could impact individuals or groups, may be required to file reports related to big data and discrimination.

How to fill out 'big data and discrimination'?

To fill out 'big data and discrimination' forms, entities must accurately compile relevant data, evaluate its impact regarding discrimination, and complete the required sections with information about data collection methods, results of the analysis, and any corrective actions taken.

What is the purpose of 'big data and discrimination'?

The purpose of 'big data and discrimination' is to ensure transparency and accountability in how data is used and to identify and mitigate potential biases that could lead to unfair treatment or discrimination against individuals or groups.

What information must be reported on 'big data and discrimination'?

Required information typically includes data collection practices, the demographics of those affected, the analysis methods used, findings regarding potential discrimination, and steps taken to address any issues identified.

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