quiz bu lëkkale ak tegtal · Diggante Niveau

IA ci wàllu doxal yoon ak laaj ak tontu ci poliis

Xoolaat jëfandikoo poliis IA ak ay àpp, boole ci kanam-match thresholds, feedback ci done jàpp, aartu tiire bunduxatal, ak xaaj ofisel yoon.

Yooni njiit yu jëm ciIA ci wàllu tëral yoon ak poliis
Laaj 1 de 8

What did NIST face-recognition evaluations report about demographic error-rate differences?

Xoolaatal laaj bu nekk8 laaj

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

  1. What did NIST face-recognition evaluations report about demographic error-rate differences?
    • Most tested algorithms showed demographic differentials, with size depending on algorithm and application
    • All tested algorithms had identical error rates for every demographic group
    • The study found demographic differences only in license-plate readers
    • NIST concluded that image quality never affects error rates
  2. Lan moo waral ŋañkat yi di wax ni poliis buy wax luy waaja am munna yokk njaaxaanaay?
    • Jëfandikuwul benn done
    • Dafay jàngee ci done yiñ jàpp, di wane ni poliis bi dafa ëppee doole
    • Dafay wax luy waaja am ci klimaa bi
    • Dafay baña bàyyi xel ci barab bi
  3. Lan la sistemu xàmmee kanam di defaree ci nataalu kanam?
    • ab croquis ci këyit
    • Ampre baraam
    • Ab dugal ay nimero wala 'emprent kanam'
    • ab toppalante ADN
  4. ShotSpotter misaalu ban xeetu sistem la?
    • Jàngalekatu plaaku oto
    • Xamme kanam
    • Analyse ADN
    • Deteksioŋ bunduxatal akustik
  5. Li gëna am solo mooy jàngat plaaku otomatik yi:
    • Log barabi oto ci eskaal
    • Tekki làkki jàmbur
    • Natt kalite ngelaw li
    • Joxe paspoor
  6. Nan la Sàrtu IA bu EU di doxalee ci jëfandikoo IA yu bari yuy tëral yoon?
    • Niñu ko yamalewul
    • Dafa am risk bu rëy wala ñu tere ko
    • Dafay faral di am ci bépp poliis
    • Ni losisel bégal xol
  7. In a face-recognition system, what can changing the match-similarity threshold trade off?
    • Image resolution against video length
    • Database size against audio quality
    • False matches against missed matches
    • Encryption strength against network speed
  8. What can AI transcription add to a body-worn-camera reporting workflow?
    • A determination of guilt without a court
    • A facial-recognition match from audio alone
    • An automatic guarantee that a report is accurate
    • A searchable transcript or draft narrative based on recorded audio