The article argues the disparate impact doctrine, which defines discrimination without intent, should be applied to mortgage lending practices and not eliminated, which was proposed by the American Bankers Association, from U.S. government regulatory agencies' fair-lending bank examinations.Rand...
Fair Lending Disparate Impact Litigation and EnforcementJoseph L. BarloonAnand S. Raman
Disparate impact:Neutral policies or practices that disproportionately affect protected groups. Data quality and bias:Ensuring that data used in digital lending models doesn’t perpetuate historical biases. Transparency and explainability:Being able to explain the reasons for credit decisions, even when usi...
Disparate Impact in Fair Lending: a Theory without a Basis & the Law of Unintended Consequences The disparate impactheoryf discriminationllowshe governmentr private plaintiffo establish discriminationasedolelynheutcomef neutral policy, withoutavingo p... Kirk,D Jensen,Andrew,... - 《Banking & Finan...
Dane,Disparate Impact Analysis in the Mortgage Lending Context, 115 Banking L.J. 900 (1998). Dane and Stokes,Fair Housing Cases: The Effect of Ohio’s Tort Reform Act, Ohio Lawyer, Jan./Feb. 1998, at 14. Dane,Investigating Claims of Discrimination in Housing Finance, 28 John ...
Subprime Lending Fallout: Salvaging Disparate Impact Claims Under the Fha and Ecoa In the midst of the subprime mortgage crisis, and in the face of increasing allegations of discrimination in lending, the banking industry is leading a con... Michael Aleo 被引量: 0发表: 2008年 SUBPRIME MORTGAGE...
also covers employment , lending, credit, insurance, etc. MA protected classes - Federal 7 (race, color, national origin, religion, sex, familiar status, disability)- Sexual orientation- gender identity- gender expression- Age- Veteran status- Public assistance status- Marital status- Ancestry- ...
For example, the mechanism M ( x ) could be a deep learning model for a lending decision, A could be the applicant’s possible gender and race, and θ the joint distribution of credit scores and protected attributes. The protected attributes are included in the attribute vector x , ...
In this case, the machine-learning system’s assessment was accurate and fair with respect to the contextual situation of the student and the perspective of the lending organization, i.e., the explanation is not biased, and no additional interaction is needed. Second, envision a scenario where...
three years later, when weill lost a power struggle at american express and left, dimon went with him and, together with other executives such as robert willumstadt and bob lipp, bought commercial credit, an underperforming consumer-lending business in baltimore. the whiz kids turned it around ...