Here. Given the FTC's role as the leading federal agency on privacy issues, there is value in having a privacy advocate on the Commission. If confirmed, Bedoya would get Rohit Chopra's seat, assuming Chopra is in turn confirmed to lead the CFPB.
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Here. Given the FTC's role as the leading federal agency on privacy issues, there is value in having a privacy advocate on the Commission. If confirmed, Bedoya would get Rohit Chopra's seat, assuming Chopra is in turn confirmed to lead the CFPB.
Posted by Jeff Sovern on Monday, September 13, 2021 at 03:24 PM in Federal Trade Commission | Permalink | Comments (0)
The Aspen Institute Financial Security Program and Pew will hold a webinar on Thursday, October 28 at 1:00 pm ET on the debt collections litigation system and ways to create better outcomes for people. Here is the description:
The system for collecting unpaid debts is broken. One in three American adults had debt in collections prior to the pandemic in 2019 -- and during the pandemic almost half of Americans reported facing serious financial problems. The leading cause for debt collectors to contact consumers for non-loan debt include medical bills, telecom bills, and utility bills -- and many times, people are unaware they owe a debt until a collector calls.
The consequences of burdensome debt are clear: consumer debt threatens people’s financial security by making it harder to stay housed, obtain credit, and build wealth. What is far less discussed is this: for 68 million people across America, the average amount in collections was less than $2,000.
Some states and advocates are pioneering ways of fixing the broken system of debt collections litigation. To do this, they must first understand the common ways the system fails individuals, and the state and federal solutions to ensure that debt is legitimate; that defendants know they are being sued; and that judgments do not permanently damage debtors’ financial security.
Register here.
Posted by Allison Zieve on Thursday, September 09, 2021 at 10:29 AM | Permalink | Comments (1)
Here, by Emmanuel Martinez and Lauren Kirchner and headlined "The Secret Bias Hidden in Mortgage-Approval Algorithms." Excerpt:
An investigation by The Markup has found that lenders in 2019 were more likely to deny home loans to people of color than to White people with similar financial characteristics—even when we controlled for newly available financial factors that the mortgage industry for years has said would explain racial disparities in lending.
Holding 17 different factors steady in a complex statistical analysis of more than two million conventional mortgage applications for home purchases, we found that lenders were 40 percent more likely to turn down Latino applicants for loans, 50 percent more likely to deny Asian/Pacific Islander applicants, and 70 percent more likely to deny Native American applicants than similar White applicants. Lenders were 80 percent more likely to reject Black applicants than similar White applicants. These are national rates.
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We sent our complete analysis to industry representatives: The American Bankers Association, The Mortgage Bankers Association, The Community Home Lenders Association, and The Credit Union National Association. They all criticized it generally, saying the public data is not complete enough to draw conclusions, but did not point to any flaws in our computations.
Posted by Jeff Sovern on Sunday, September 05, 2021 at 12:10 PM in Credit Reporting & Discrimination | Permalink | Comments (0)