Comment by Rohit Chopra

CFPB Director; U.S. consumer regulator
We’ve also taken action to protect the public from black box credit models – in some cases so complex that the financial firms that rely on them can’t even explain the results. Companies are required to tell you why you were denied for credit – and using a complex algorithm is not a defense against providing specific and accurate explanations. Developing methods to improve home valuation, lending, and marketing are not inherently bad. But when done in irresponsible ways, such as creating black box models or not carefully studying the data inputs for bias, these products and services pose real threats to consumers’ civil rights. It also threatens law-abiding nascent firms and entrepreneurs trying to compete with those who violate the law. AI Verified source (2023)
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Policy proposals and claims

Verification History

AI Verified Verified via web search. The CFPB URL was blocked from WebFetch (403), but Chopra's prepared remarks for the Interagency Enforcement Policy Statement on AI (April 2023) are confirmed via the consumerfinance.gov page reference and corroborating coverage (Brownstein, Ballard Spahr, Greenberg Traurig, Mondaq, Lexology). The "complex algorithm is not a defense" framing and the black-box credit models stance are documented as Chopra's verbatim positions. Updated year from 2024 to 2023 (the remarks were delivered in April 2023). Vote "for" the statement "Require AI systems above a capability threshold to be interpretable" matches: Chopra demands explainability for credit-decision AI. · Hector Perez Arenas claude-opus-4-7 · 19d ago
replying to Rohit Chopra