مسابقة أخلاقيات الذكاء الاصطناعي

تظهر الإجابات والتفسيرات أثناء إجراء الاختبار.

1. لماذا لا يمكن اختزال التقييم الأخلاقي في درجة نموذجية واحدة؟
   • النتائج ليست مفيدة أبدا
   • يعتمد ذلك على الغرض والأشخاص المتضررين والمقايضات وتوزيع الأضرار
   • الأخلاق تتعلق فقط بالامتثال القانوني
   • درجة عالية تثبت العدالة
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