Quiz połączony z przewodnikiem · Średni Poziom

Quiz dotyczący audytu raportu wydatków AI

Testuje dopasowanie paragonów i danych kartowych, wykrywanie duplikatów wśród pracowników oraz limity wykrywania fałszywych rachunków generowanych przez sztuczną inteligencję w audytach wydatków.

Powiązane ścieżki prowadząceAudyt raportu wydatków AI
Pytanie 1 z 8

According to the guide, what is the strongest defense against fabricated expense receipts?

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Odpowiedzi i wyjaśnienia pojawiają się w miarę rozwiązywania quizu.

  1. According to the guide, what is the strongest defense against fabricated expense receipts?
    • An AI-image detector run on every receipt
    • Asking employees to sign a declaration
    • Corroborating claims with independent data, above all the corporate card feed
    • Requiring receipts to be printed on paper
  2. Why is C2PA provenance metadata a limited way to catch AI-generated receipts?
    • It is easily removed by taking a screenshot or re-saving the file
    • It only works on paper receipts
    • It is illegal to read it
    • It identifies the employee rather than the image source
  3. Two colleagues submit the same dinner receipt as different files. Which technique lets the system match slightly different copies of the image?
    • Per-diem lookup by city
    • Perceptual hashing of receipt images
    • Mileage estimation
    • Currency conversion
  4. What capability lets the system reimburse a hotel room while excluding minibar and movie charges?
    • Card-feed matching
    • Peer comparison
    • Perceptual hashing
    • Line-item extraction from the hotel folio
  5. How does AI auditing change coverage compared with traditional manual expense audits?
    • It audits only reports above a set amount
    • It can review every report and send only flagged ones to people
    • It removes the need for any expense policy
    • It reviews reports only once a year
  6. Why must matching receipts to card transactions be fuzzy rather than exact?
    • Card statement merchant descriptors often differ from receipt names, and totals can differ by tips or conversion
    • Card data is always missing dates
    • Receipts never include totals
    • Banks encrypt merchant names
  7. When scoring risk, who does the guide say an employee's spending should be compared with?
    • The company's chief executive
    • The national average for all workers
    • Employees in the same role and location
    • Last year's budget only
  8. How should an expense flag be treated, according to the guide?
    • As proof of fraud
    • As grounds for automatic termination
    • As a reason to cancel the employee's card
    • As a prompt for review, since many flags have innocent explanations