Guide-yakabatana mibvunzo · Pakati Nhanho

AI muCredit Underwriting Quiz

Review credit underwriting, proxy discrimination, adverse-action notices, alternative data, explanations, and regulatory limits.

Nzira dzekutungamira dzinoenderanaAI Mune Chikwereti Underwriting
Mubvunzo 1 ye 8

Chii chinonzi AI kiredhiti-underwriting modhi inonyanya kuedza kufanotaura?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. Chii chinonzi AI kiredhiti-underwriting modhi inonyanya kuedza kufanotaura?
    • Mukana wekuti mukwereti achatadza
    • Bhangi rinodiwa nemukwereti
    • The stock market direction
    • Zera remukwereti chairo
  2. Chii chinonzi 'proxy discrimination' mumamodeli echikwereti?
    • Kushandisa sevha yekuchengetedza
    • Chimiro chakamira chechimiro chakachengetedzwa serudzi
    • Kuhaya mumiriri kuti unyorere zvikwereti
    • Encrypting data yevatengi
  3. What does an adverse-action notice communicate to a credit applicant?
    • A guarantee of future loan approval
    • A credit score that proves discrimination
    • That the creditor took an adverse action on the credit application
    • A list of every variable in every model
  4. Ndiani anogona AI kunyora pasi anogona kubatsira izvo zvechinyakare zvibodzwa zvinowanzoramba?
    • Vanokwereta chete vakapfuma
    • Mabhangi pachavo
    • Vatongi vehurumende
    • 'Thin-file' vanyoreri vane nhoroondo shoma yechinyakare kiredhiti
  5. Sei maturusi akaita seSHAP achishandiswa mukunyora kwechikwereti?
    • Kupa sarudzo kune chaiwo maficha ekutsanangura
    • Kuti ikurumidze internet
    • Kuseta mubereko wekutanga
    • Kuona mavhairasi epakombiyuta
  6. Ndeipi makakatanwa epakati pakushandisa data rakawanda rekunyora pasi?
    • Mamwe data anogara achidzikisa huroyi
    • Mamwe data anogona kuvandudza chokwadi asi anogona kuvanza rusarura
    • Data haisi pamutemo kushandisa
    • Data inoita zvikwereti zvemahara
  7. When a creditor supplies a statement of reasons under Regulation B, what must those reasons describe?
    • A generic statement that an algorithm denied credit
    • A complete source-code listing
    • Specific principal reasons that accurately describe factors actually used in the decision
    • A promise that the applicant will later be approved
  8. Why can an alternative-data source raise fairness questions in underwriting?
    • It is always illegal to use any nontraditional data
    • It guarantees a higher credit score
    • It eliminates the need for validation
    • It may act as a proxy for protected characteristics or reflect uneven coverage