Maswali yanayounganishwa na mwongozo · Kati Kiwango

Maswali ya AI katika Utekelezaji wa Sheria na Kipolisi

Kagua matumizi na vikomo vya AI ya polisi, ikijumuisha viwango vya mechi, maoni kutoka kwa data ya kukamatwa, arifa za risasi na uainishaji rasmi wa kisheria.

Njia za mwongozo zinazohusianaAI Katika Utekelezaji wa Sheria na Kipolisi
Swali 1 ya 8

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

Hakiki kila swali8 maswali

Majibu na maelezo huonekana unapojibu maswali.

  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. Kwa nini wakosoaji wanasema utabiri wa polisi unaweza kukuza upendeleo?
    • Haitumii data hata kidogo
    • Hujifunza kutokana na data ya kukamatwa inayoakisi utumishi wa polisi kupita kiasi
    • Inatabiri hali ya hewa tu
    • Inapuuza eneo kabisa
  3. Je, mfumo wa utambuzi wa uso unaunda nini kutoka kwa picha ya uso?
    • Mchoro wa karatasi
    • Alama ya vidole
    • Upachikaji wa nambari au 'alama ya uso'
    • Mlolongo wa DNA
  4. ShotSpotter ni mfano wa aina gani ya mfumo?
    • Msomaji wa sahani za leseni
    • Utambuzi wa uso
    • Uchambuzi wa DNA
    • Utambuzi wa risasi za sauti
  5. Visomaji vya sahani za leseni za kiotomatiki kimsingi:
    • Weka maeneo ya gari kwa kiwango
    • Tafsiri lugha za kigeni
    • Pima ubora wa hewa
    • Toa hati za kusafiria
  6. Je, Sheria ya EU AI inashughulikia vipi matumizi mengi ya utekelezaji wa sheria ya AI?
    • Kama isiyodhibitiwa
    • Kama hatari kubwa au marufuku
    • Kama lazima kwa polisi wote
    • Kama programu ya burudani
  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