Algorithms for All: Can AI in the Mortgage Market Expand Access to Homeownership?

Author:

Perry Vanessa G.1ORCID,Martin Kirsten2,Schnare Ann3

Affiliation:

1. Department of Strategic Management and Public Policy, School of Business, The George Washington University, Washington, DC 20052, USA

2. William P. and Hazel B. White Center, Department of IT, Analytics, and Operations, Mendoza College of Business, University of Notre Dame, Notre Dame, IN 46556, USA

3. AB Schnare Associates, Washington, DC 20007, USA

Abstract

Artificial intelligence (AI) is transforming the mortgage market at every stage of the value chain. In this paper, we examine the potential for the mortgage industry to leverage AI to overcome the historical and systemic barriers to homeownership for members of Black, Brown, and lower-income communities. We begin by proposing societal, ethical, legal, and practical criteria that should be considered in the development and implementation of AI models. Based on this framework, we discuss the applications of AI that are transforming the mortgage market, including digital marketing, the inclusion of non-traditional “big data” in credit scoring algorithms, AI property valuation, and loan underwriting models. We conclude that although the current AI models may reflect the same biases that have existed historically in the mortgage market, opportunities exist for proactive, responsible AI model development designed to remove the systemic barriers to mortgage credit access.

Publisher

MDPI AG

Subject

Industrial and Manufacturing Engineering

Reference74 articles.

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4. Akinwumi, M., Merrill, J., Rice, L., Saleh, K., and Yap, M. (2023, February 07). An AI Fair Lending Policy Agenda for the Federal Financial Regulators. Available online: https://www-brookings-edu.cdn.ampproject.org/c/s/www.brookings.edu/research/an-ai-fair-lending-policy-agenda-for-the-federal-financial-regulators/?amp.

5. FinRegLab (2023, February 07). The Use of Machine Learning for Credit Underwriting. Available online: https://finreglab.org/wp-content/uploads/2021/09/the-Use-of-ML-for-Credit-Underwriting-Market-and-Data-Science-Context_09-16-2021.pdf.

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