NIST AI Ewu Management Framework adanwo

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

1. Kini awọn iṣẹ pataki mẹrin ti NIST AI RMF?
   • Ijọba, maapu, wiwọn, Ṣakoso awọn
   • Eto, Kọ, Idanwo, Ranṣẹ
   • Wa, Dabobo, Dahun, Bọsipọ
   • Gba, Irin, Sooto, Ọkọ
2. Njẹ ibamu pẹlu NIST AI RMF ni ofin bi?
   • Bẹẹni, o jẹ abuda ofin apapo AMẸRIKA
   • Rara, o jẹ ilana atinuwa
   • Nikan fun awọn ile-iṣẹ ti o da ni Yuroopu
   • Nikan fun AI lo nipasẹ ologun
3. Iṣẹ wo ni a ṣe apejuwe bi gige-agbelebu ati ifunni sinu awọn mẹta miiran?
   • Maapu
   • Iwọn
   • Ijọba
   • Ṣakoso awọn
4. Kini idi ti RMF ṣe tọju igbẹkẹle bi eto awọn iṣowo-pipade?
   • Nitoripe gbogbo awọn ohun-ini AI nigbagbogbo dara si papọ
   • Nitoripe deede nikan ṣe pataki ni iṣe
   • Nitori awọn iṣowo-pipa jẹ arufin lati ronu
   • Nitori imudara ohun-ini kan le dinku omiran
5. Kini NIST ṣafikun si ilana ni 2024 lati koju awọn awoṣe ede nla?
   • A Generative AI Profaili
   • A lapapọ wiwọle lori chatbots
   • Eto ọya iwe-aṣẹ kan
   • Ilana rirọpo ti a pe ni AI RMF 2.0
6. Ewo ninu iwọnyi jẹ ọkan ninu awọn abuda orukọ NIST ti AI igbẹkẹle?
   • O pọju ere
   • Ṣe alaye ati itumọ
   • Iyara ṣee ṣe itọkasi
   • Itumọ ti nikan pẹlu ìmọ-orisun koodu
7. Which risk does NIST’s Generative AI Profile identify as relevant to generative-AI systems?
   • A requirement to use open-source weights
   • A guarantee that the model will memorize no data
   • Confabulation, in which generated content may be presented as factual
   • A rule that all generated images must be watermarked
8. What does the NIST AI RMF Playbook provide?
   • Legally binding rules for all organizations
   • A guarantee that a model is safe
   • A replacement for risk measurement
   • Suggested actions and references to help achieve framework outcomes