Requires the Bureau of Consumer Financial Protection to annually assess the use of educational data and algorithmic and automated processes in creditworthiness determinations. Mandates reporting to Congress and public disclosure of findings and involved entities to prevent disparate impacts on protected classes.
Requires the Bureau of Consumer Financial Protection to assess the use of educational data and automated processes in creditworthiness determinations annually.
Mandates coordination with executive agencies and civil rights stakeholders for these assessments no later than 180 days after enactment.
Examines educational data by of the covered person in determining their creditworthiness.
Examines the use of the underwriting processes that gathers data points and creating applicants profiles including automated or algorithmic processes.
Recognizes that risk of automated or algorithmic processes that will establish guidelines to prevent disparate impacts on a protected class.
Obligates the Bureau to report findings and recommendations to Congress 60 days post-assessment.
Requires public disclosure of assessment findings, lists of covered persons using educational data, and list the covered persons that use an underwriting process to create profiles including automated or algorithmic processes that determine creditworthiness.
Defines "applicant’s background" as data derived from an applicant’s attendance at an academic institution, academic major pursued, grades and test scores for admission, and educational attainment.
Defines "certain educational data" as a non-individualized data derived from an applicant’s educational background, such as whether the applicant attended an eligible institution or a junior or community college.