Quiz połączony z przewodnikiem · Średni Poziom
Quiz AI w windykacji i obsłudze kredytów
Testuje założenia dotyczące częstotliwości połączeń określone w rozporządzeniu F, kogo obejmuje FDCPA oraz dlaczego mechanizmy zgodności i wykrywanie trudności opierają się na modelach gromadzenia danych AI.
Pytanie 1 z 8
Under Regulation F, which pattern of calls creates a presumption of a violation?
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Odpowiedzi i wyjaśnienia pojawiają się w miarę rozwiązywania quizu.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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