Guide-linked quiz · Medium Level

AI in Debt Collection and Loan Servicing Quiz

Tests Regulation F's call frequency presumption, who the FDCPA covers, and why compliance engines and hardship detection sit around AI collection models.

Question 1 of 8

Under Regulation F, which pattern of calls creates a presumption of a violation?

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  1. Under Regulation F, which pattern of calls creates a presumption of a violation?
    • More than three calls in one month about a debt
    • More than seven telephone calls within seven days about a particular debt
    • Any call made after 5 p.m. on a weekday
    • Two calls on the same day to different phone numbers
  2. Which party is generally outside the FDCPA but still subject to prohibitions on unfair, deceptive or abusive practices?
    • A third-party collection agency
    • A debt buyer that purchased charged-off accounts
    • An original creditor collecting its own debts
    • A law firm regularly collecting consumer debts
  3. What does Regulation F require when collectors contact consumers by email or text?
    • A clear and simple way to opt out of those communications
    • A handwritten signature from the collector
    • Approval from a court before each message
    • That messages be sent only on weekends
  4. What did the FCC rule in February 2024 about AI-generated voices?
    • They are exempt from all telephone rules
    • They count as artificial voices under the Telephone Consumer Protection Act
    • They may be used only by original creditors
    • They must be disclosed in the validation notice
  5. What does the guide mean by separating optimization from permission in collection systems?
    • Models choose which borrowers to sue, and lawyers approve
    • A model may rank actions, but a deterministic compliance engine must approve each one before execution
    • Borrowers must give permission before any model scores them
    • Optimization runs only on accounts that have granted consent
  6. Why is a single source of truth for contact history important?
    • It lowers data storage costs
    • Counts split across a dialer, email platform and outside agency can cause frequency limits to be exceeded
    • It is needed to calculate interest
    • It lets the model contact borrowers more often
  7. Why should hardship classifiers be tuned for high recall?
    • Missing a distressed borrower is costlier than an unnecessary handoff to a human
    • High recall makes the model run faster
    • Regulation F specifies a recall target
    • It reduces the number of payment plans offered
  8. Why does the guide say models optimized only for dollars collected are risky?
    • They cannot process payments
    • They may push toward aggressive contact or target people least able to push back
    • They always violate the validation notice rule
    • They require original creditors to register as collectors

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