AI & Kediska Xuquuqda Daabacaada

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Muxuu Xafiiska Xuquuqda Daabacaada Maraykanku ka sheegay shaqooyinka ay soo saartay AI gebi ahaanba iyada oo aan la xakameynin hal-abuurka aadanaha?
   • They belong to whichever user paid the most for access
   • They can't be copyrighted because human authorship is required
   • They are owned automatically by the AI system that generated them
   • They receive copyright protection for twice the normal term
2. Thaler v. Perlmutter, maxay maxkamaddu go'aan ka gaadhay sawirka liiska nidaamka AI oo ah qoraaga keliya?
   • The image entered the public domain after just one year
   • The AI was granted copyright protection as a legal person
   • Registration was denied because copyright needs a human author
   • Copyright went to the company that manufactured the GPU
3. Sharciga Maraykanka, qodobka isticmaalka cadaalada ah ee eegaya in adeegsigu yahay 'isbedel' iyo in kale?
   • The purpose and character of the use
   • The nature of the copyrighted work
   • The effect on the potential market
   • The amount of the work used
4. Waa maxay sababta Qorayaasha Guild v. Google inta badan loogu soo xigtay doodaha ku saabsan tababarka AI ee buugaagta xuquuqda daabacaada?
   • It banned all use of copyrighted books in software
   • Google was ordered to destroy every single book it had ever scanned
   • It gave authors ownership of all search engine results
   • Google’s book scanning and limited snippet display for search were fair use on that record
5. Marka laga reebo qoraalka EU-da iyo macdan qodista (TDM) ee ku jira Dardaaranka Xuquuqda Daabacaada 2019, maxay dadka xuquuqaha leh samayn karaan?
   • Demand deletion of any trained model anywhere in the world
   • Expressly reserve their rights to exclude uses from Article 4’s text and data mining exception
   • Block all academic research that uses their works
   • Nothing, since all text and data mining is forbidden
6. In a copyright dispute about generated text, why can near-verbatim output examples matter?
   • The number of users who subscribe to the paid service
   • The color scheme and fonts of the chatbot interface
   • Outputs reproducing near-verbatim passages from training works
   • The model's total electricity consumption during training
7. A tool permits commercial use of its outputs. What does that permission establish about third-party rights?
   • It does not necessarily resolve rights held by other people
   • It proves every training work was licensed
   • It guarantees copyright registration
   • It overrides local copyright law
8. Why should a publisher assess copyrightability and infringement as separate questions?
   • The questions always have the same answer
   • Infringement only concerns software licenses
   • A service contract determines both questions everywhere
   • Human authorship may affect protection, while use may still implicate someone else’s rights