Qaab-dhismeedka Badbaadada AI ee Frontier iyo Kediska Xeerarka Qiyaasta Mas'uulka ah

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Waa maxay caqligalka aasaasiga ah ee siyaasadda miisaan culus?
   • Release every model as open source
   • If a model reaches a dangerous capability threshold, then stronger safeguards must be in place
   • Stop all AI research after a fixed date
   • Let users vote on which models are released
2. Shirkaddee soo bandhigtay Heerarka Badbaadada AI (ASLs)?
   • Anthropic
   • Meta
   • Microsoft
   • Mistral
3. Muxuu Google DeepMind ugu yeeraa marinnada qaab-dhismeedka Badbaadada Xudduudda?
   • Red Lines
   • Hazard Tiers
   • Critical Capability Levels
   • Preparedness Scores
4. Maxay shirkaduhu ku heshiiyeen Shirkii AI Seoul ee Maajo 2024?
   • A binding international treaty with fines
   • Pausing all frontier training for six months
   • Sharing model weights with governments
   • Publishing safety frameworks with thresholds for intolerable risk
5. Qaybtee ayaa OpenAI's 2025 dib u eegis qaabdhismeedka u-diyaargarowga hoos u dhacay sidii qayb la dabagalay?
   • Cybersecurity
   • Persuasion
   • Biological and chemical risk
   • Model autonomy
6. Why does elicitation matter in dangerous-capability evaluations?
   • Weak prompting or scaffolding can make a model look less capable than it is
   • It is a legal requirement in every country
   • It measures electricity use
   • It makes models run faster
7. Which is a common critique of these frameworks?
   • They are enforced by an international court
   • They require too much public data release
   • Labs set and can revise their own thresholds with limited outside verification
   • They apply only to open-source models
8. Which of these is a security safeguard rather than a deployment safeguard?
   • Refusal training
   • Input and output classifiers
   • Staged user access
   • Protecting model weights from theft