Guide-yakabatana mibvunzo · Zvakaoma Nhanho

AI Ethics Quiz

Miedzo yakanganisa vanhu, misimboti inogoneka, kuzvidavirira, chiremera chevanhu chine musoro, dzimwe nzira, ongororo inoenderera, uye njodzi yasara.

Nzira dzekutungamira dzinoenderanaTsika dzeAI
Mubvunzo 1 ye 8

Sei kuongororwa kwetsika kusingadzikiswe kusvika kune imwe modhi mamakisi?

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  1. Sei kuongororwa kwetsika kusingadzikiswe kusvika kune imwe modhi mamakisi?
    • Zvibodzwa hazvimbobatsiri
    • Izvo zvinoenderana nechinangwa, vanhu vakakanganisika, tradeoffs, uye kugoverwa kwekukuvadza
    • Ethics ine chekuita nekutevedzwa kwemutemo chete
    • Chibodzwa chepamusoro chinoratidza kururamisira
  2. Sevhisi yakanakira mushandisi wayo asi inoremedza vanhu vasingakwanise kubuda. Chii chinofanira kubvunzwa nekuongorora kwetsika?
    • Who benefits, bears extra work, and has influence over the design
    • Only whether the interface is fast
    • Whether the model is open-weight
    • How many features can be automated
  3. Chikwata chinoti kujeka kwakakosha. Chii chaizoita kuti musimboti ushande?
    • Add “transparent” to the product description
    • Publish the model’s parameter count
    • Ask the model to explain itself
    • Specify what information users need and when they receive it
  4. Sei kubatanidzwa kwevanhu kusiri kungozvidzivirira patsika?
    • Humans cannot find model errors
    • Human review always makes systems slower
    • Reviewers need relevant authority and resources to affect outcomes
    • Automation is always more ethical
  5. Chii chinofanira kuziva nzira yekuzvidavirira?
    • Who can investigate, correct, or stop an inappropriate outcome
    • Only the vendor’s contact form
    • A model’s confidence score
    • The number of review meetings
  6. When should an ethical review be revisited?
    • Only before procurement
    • After deployment as uses, data, or feedback change
    • Only when the model architecture changes
    • Never after approval
  7. A simpler non-AI process can meet the same need with fewer burdens. What should the team do?
    • Choose AI because it is innovative
    • Ignore staffing and procedure options
    • Compare the alternative instead of assuming more automation is better
    • Keep the model but remove user feedback
  8. How should a review report handle disagreement and remaining risk?
    • Remove disagreement from the record
    • Describe the review as a safety guarantee
    • Record only risks the model can measure
    • Document both rather than claiming review proves no harm can occur