Guide-yakabatana mibvunzo · Pakati Nhanho

AI muKusimbisa Mutemo uye Mapurisa Quiz

Ongorora mashandisirwo eAI uye zviganho zvechipurisa, zvinosanganisira zvikumbaridzo-mechi, mhinduro kubva kudhata rekusungwa, ziviso yepfuti, uye zviri pamutemo kupatsanura.

Nzira dzekutungamira dzinoenderanaAI Mukusimbisa Mutemo uye Mapurisa
Mubvunzo 1 ye 8

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

Tarisa mubvunzo wese8 mibvunzo

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

  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. Sei vatsoropodzi vachiti kufembera mapurisa kunogona kuwedzera rusaruro?
    • Iyo haishandisi data zvachose
    • Inodzidza kubva kune data rekusungwa rinoratidza zvakapfuura-mapurisa
    • Inongofanotaura mamiriro ekunze
    • Iyo inofuratira nzvimbo zvachose
  3. Chii chinogadzirwa nechiso chekuzivikanwa system kubva pamufananidzo wechiso?
    • Pepa sketch
    • Fingerprint
    • A manhamba embedding kana 'faceprint'
    • Kutevedzana kweDNA
  4. ShotSpotter muenzaniso wemhando ipi yehurongwa?
    • Rezinesi-ndiro kuverenga
    • Kuzivikanwa kwechiso
    • DNA kuongorora
    • Acoustic pfuti yekuona
  5. Otomatiki rezinesi-ndiro vanoverenga zvakanyanya:
    • Log nzvimbo dzemotokari pachiyero
    • Shandura mitauro yedzimwe nyika
    • Pima kunaka kwemhepo
    • Kupa mapasipoti
  6. Ko iyo EU AI Act inobata sei akawanda ekushandisa-mutemo AI anoshandisa?
    • Sezvisina kudzorwa
    • Sepamusoro-ngozi kana kurambidzwa
    • Sezvinosungirwa mapurisa ese
    • Sevaraidzo software
  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