{"id":9897,"date":"2024-02-09T19:56:08","date_gmt":"2024-02-09T19:56:08","guid":{"rendered":"https:\/\/dailyai.com\/?p=9897"},"modified":"2024-02-10T12:09:07","modified_gmt":"2024-02-10T12:09:07","slug":"london-underground-deploys-ai-surveillance-experiment","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2024\/02\/london-underground-deploys-ai-surveillance-experiment\/","title":{"rendered":"London Underground tar i bruk AI-overv\u00e5kingseksperiment"},"content":{"rendered":"

Undergrunnsbanen i London tok i bruk AI-overv\u00e5kningsteknologi i et \u00e5relangt fors\u00f8k.\u00a0<\/b><\/p>\n

Fra oktober 2022 til september 2023 testet Transport for London (TfL) 11 forskjellige algoritmer p\u00e5 Willesden Green T-banestasjon, som ligger i den nordvestlige delen av byen.\u00a0<\/span><\/p>\n

If\u00f8lge detaljerte dokumenter innhentet av <\/span>WIRED<\/span><\/a>I rettssaken ble tusenvis av passasjerers bevegelser, atferd og kroppsspr\u00e5k overv\u00e5ket for \u00e5 identifisere potensielle kriminelle aktiviteter og sikkerhetsrisikoer.\u00a0<\/span><\/p>\n

AI-programvaren, som ble koblet sammen med live CCTV-opptak (som er en gren av maskinl\u00e6ring), ble trent opp til \u00e5 identifisere aggressiv atferd, v\u00e5pen, billettunndragelser og ulykker, som for eksempel personer som potensielt kan falle ned p\u00e5 sporene.<\/span><\/p>\n

Politiet i Storbritannia har tidligere eksperimentert med AI-overv\u00e5king og fortsetter \u00e5 gj\u00f8re det p\u00e5 noen offentlige arrangementer, som de gjorde p\u00e5 en <\/span>Beyonce-konsert i fjor<\/span><\/a>.<\/p>\n

Men..,\u00a0det er <\/span>ofte v\u00e6rt ineffektivt,<\/span><\/a> og menneskerettighetsgrupper har kritisert teknologien og kalt den et plagsomt inngrep i privatlivet og en kilde til fordommer og diskriminering.<\/span><\/p>\n

AI-videoteknologi har en problematisk historie, med <\/span>mange prosjekter over hele verden som underleverer<\/span><\/a> samtidig som m\u00f8rkhudede mennesker knyttes til forbrytelser de ikke har beg\u00e5tt.\u00a0<\/span><\/p>\n

I l\u00f8pet av TfLs pr\u00f8veperiode ble det generert rundt 44 000 varsler, hvorav omtrent 19 000 ble videresendt direkte til personalet for inngripen.<\/span><\/p>\n

Betjentene deltok i testene ved \u00e5 svinge v\u00e5pen som macheter og pistoler innenfor overv\u00e5kningskameraets synsfelt (riktignok p\u00e5 tidspunkter da stasjonen var stengt), med sikte p\u00e5 \u00e5 trene opp den kunstige intelligensen bedre.<\/span><\/p>\n

Her er den komplette resultatlisten:<\/span><\/p>\n

    \n
  1. Totalt antall varsler<\/b>: Over 44 000 varsler ble utstedt av AI-systemet.<\/span><\/li>\n
  2. Sanntidsvarsler til stasjonspersonalet<\/b>: 19 000 ble levert i sanntid til stasjonspersonalet for umiddelbar handling.<\/span><\/li>\n
  3. Varsler om avgiftsunndragelser<\/b>: AI-systemet genererte 26 000 varsler om ulovlig billettprising.<\/span><\/li>\n
  4. Rullestolvarsler<\/b>: Det kom inn 59 varsler om rullestolbrukere p\u00e5 stasjonen, som mangler skikkelig rullestoltilgang.<\/span><\/li>\n
  5. Varsler om sikkerhetslinjer<\/b>: Nesten 2 200 utstedelser for personer som krysset de gule sikkerhetslinjene p\u00e5 perrongene.<\/span><\/li>\n
  6. Varsler p\u00e5 plattformkanten<\/b>: Systemet genererte 39 varsler om personer som lente seg over kanten p\u00e5 togperrongene.<\/span><\/li>\n
  7. Utvidede sittebenkvarsler<\/b>: Nesten 2000 varsler gjaldt personer som satt p\u00e5 benker i lengre perioder, noe som kunne tyde p\u00e5 ulike bekymringer, blant annet om passasjerenes velv\u00e6re eller sikkerhetsrisiko.<\/span><\/li>\n
  8. Varsler om aggressiv atferd<\/b>: Det kom 66 varsler om aggressiv atferd, selv om AI-systemet slet med \u00e5 oppdage slike hendelser p\u00e5 en p\u00e5litelig m\u00e5te p\u00e5 grunn av utilstrekkelige treningsdata.<\/span><\/li>\n<\/ol>\n

    AI-systemet fungerte imidlertid ikke godt i noen scenarier, noe som f\u00f8rte til feilaktige resultater, for eksempel at barn som passerte gjennom billettsperrer, ble flagget som potensielle billettunndragelser.<\/span><\/p>\n

    If\u00f8lge TfL er det endelige m\u00e5let \u00e5 skape en tryggere og mer effektiv undergrunnsbane som beskytter b\u00e5de publikum og ansatte.\u00a0<\/span><\/p>\n

    AI-overv\u00e5kningsteknologi er ikke i seg selv forferdelig n\u00e5r den brukes til offentlig sikkerhet, men n\u00e5r teknologien f\u00f8rst er p\u00e5 plass, er det vanskelig \u00e5 holde den under kontroll.<\/p>\n

    Det finnes allerede bevis p\u00e5 Misbruk av kunstig intelligens i offentlig sektor i Storbritannia<\/a>, og skandaler i andre land<\/a> indikerer at dette er et skr\u00e5plan n\u00e5r det ikke h\u00e5ndteres med den st\u00f8rste forsiktighet.<\/p>","protected":false},"excerpt":{"rendered":"

    Undergrunnsbanen i London har tatt i bruk AI-overv\u00e5kningsteknologi i et \u00e5relangt fors\u00f8k. Fra oktober 2022 til september 2023 testet Transport for London (TfL) 11 forskjellige algoritmer p\u00e5 Willesden Green T-banestasjon, som ligger i den nordvestlige delen av byen. If\u00f8lge detaljerte dokumenter som WIRED har f\u00e5tt tilgang til, gikk fors\u00f8ket ut p\u00e5 \u00e5 overv\u00e5ke tusenvis av passasjerers bevegelser, atferd og kroppsspr\u00e5k for \u00e5 identifisere potensielle kriminelle aktiviteter og sikkerhetsfarer. AI-programvaren, som ble koblet sammen med live CCTV-opptak (som er en gren av maskinl\u00e6ring), ble trent opp til \u00e5 identifisere aggressiv atferd, v\u00e5pen, billettsnyteri og ulykker, som for eksempel personer som potensielt<\/p>","protected":false},"author":2,"featured_media":9898,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[108],"class_list":["post-9897","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-computer-vision-cv"],"yoast_head":"\nLondon Underground deploys AI surveillance experiment | DailyAI<\/title>\n<meta name=\"description\" content=\"The London Underground employed AI surveillance technology in a year-long trial.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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