Тест, свързан с ръководство · трудно Ниво

Викторина по етика на AI

Тестовете засегнаха хора, приложими принципи, отчетност, значим човешки авторитет, алтернативи, текущ преглед и остатъчен риск.

Свързани ръководни пътекиЕтика на ИИ
Въпрос 1 на 8

Защо етичната оценка не може да бъде сведена до един резултат от модела?

Визуализирайте всеки въпрос8 въпроси

Отговорите и обясненията се появяват, докато отговаряте на теста.

  1. Защо етичната оценка не може да бъде сведена до един резултат от модела?
    • Резултатите никога не са полезни
    • Зависи от целта, засегнатите хора, компромисите и разпределението на вредите
    • Етиката се отнася само до спазването на законите
    • Високият резултат доказва справедливост
  2. A service is convenient for its operator but burdens people who cannot opt out. What should an ethical review ask?
    • 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. A team says transparency is important. What would make the principle actionable?
    • 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. Why is human involvement not automatically an ethical safeguard?
    • 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. What should an accountability process identify?
    • 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