AI ninu Awọn ibeere Ṣiṣe adanwo

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

1. Kini 'sisẹ taara' tumọ si ni mimu awọn ẹtọ?
   • Ifọwọsi ni adaṣe ni irọrun, awọn iṣeduro eewu kekere laisi atunyẹwo afọwọṣe
   • Fifiranṣẹ gbogbo ẹtọ si oluṣakoso agba
   • Ṣiṣe awọn ẹtọ nikan ni awọn ọjọ ọsẹ
   • Firanṣẹ awọn sọwedowo ti ara si gbogbo awọn ti o beere
2. What did a 2018 visual-evidence car-claims paper use computer vision to do?
   • Guarantee a complete repair estimate from any phone photo
   • Locate vehicle-damage regions and combine local and global image features for claim anti-fraud analysis
   • Approve every claim without policy checks
   • Predict a claimant’s future driving behavior from audio
3. Kini ipa ti OCR ati NLP ni ibẹrẹ opo gigun ti awọn ẹtọ?
   • Ti paroko oju opo wẹẹbu oluṣeduro
   • Iṣiro awọn ile-ile lododun èrè
   • Yiyọ data eleto lati awọn gbigba, awọn ijabọ, ati awọn fọọmu
   • Apẹrẹ ni wiwo mobile app nperare
4. Ewo ninu iwọnyi jẹ asia pupa ti awoṣe wiwa jegudujera le mu?
   • Ibeere ti a fiweranṣẹ lakoko awọn wakati iṣowo
   • Olufisun ti o ni eto imulo to wulo
   • Ipeere fun kekere kan, iye iwe-ipamọ daradara
   • Fọto ibajẹ kanna ti a fi silẹ kọja ọpọlọpọ awọn ẹtọ ti o yatọ
5. What time did Lemonade report for one specific AI Jim claim in its company blog?
   • Three seconds
   • Less than one second
   • Thirty seconds
   • Three minutes
6. Why retain human review for disputed or high-impact insurance claims?
   • Because automated systems can never process a document
   • To examine context and reduce the risk of an automated error causing an adverse outcome
   • To ensure that every claim is denied
   • Because a human review guarantees the claim is valid
7. What should happen when OCR extracts uncertain information from a claim form?
   • Treat every extracted field as error-free
   • Delete the original document immediately
   • The fields should be validated or routed for correction before they drive a decision
   • Automatically deny the claim
8. What is a limitation of estimating vehicle damage from submitted photos?
   • Photos always reveal internal mechanical damage
   • A visual estimate determines coverage under every policy
   • Image models eliminate the need to inspect uncertain cases
   • Images may not show all damage needed for a complete repair assessment