Code encounters: algorithmic risk-profiling in housing

Project: Research project (funded)Research

Project Details


This project will examine the societal impact of algorithmic risk-profiling tools used by lenders and landlords.

Housing decisions are made with the help of algorithmic tools as a way for lenders and landlords to mitigate risk. Credit scoring in the mortgage market and automated tenant screening tools are increasingly commonplace. However, there is little understanding about the societal impact of these human-tech encounters. Questions have been raised over the construction of these technologies, whether they are understood by applicants or service users and if they embed bias into their decision making. Despite this lack of knowledge these tools have become further entrenched in our society and systems.
Effective start/end date1/01/2231/12/23