{"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\/da\/2024\/02\/london-underground-deploys-ai-surveillance-experiment\/","title":{"rendered":"Londons undergrundsbane udruller AI-overv\u00e5gningseksperiment"},"content":{"rendered":"

Londons undergrundsbane anvendte AI-overv\u00e5gningsteknologi i et \u00e5relangt fors\u00f8g.\u00a0<\/b><\/p>\n

Fra oktober 2022 til september 2023 testede Transport for London (TfL) 11 forskellige algoritmer p\u00e5 metrostationen Willesden Green, der ligger i den nordvestlige del af byen.\u00a0<\/span><\/p>\n

If\u00f8lge detaljerede dokumenter indhentet af <\/span>WIRED<\/span><\/a>Retssagen involverede overv\u00e5gning af tusindvis af passagerers bev\u00e6gelser, adf\u00e6rd og kropssprog for at identificere potentielle kriminelle aktiviteter og sikkerhedsrisici.\u00a0<\/span><\/p>\n

AI-softwaren, der er forbundet med live CCTV-optagelser (som er computer vision (CV)-grenen af maskinl\u00e6ring), blev tr\u00e6net til at identificere aggressiv adf\u00e6rd, v\u00e5ben, billetflugt og ulykker, som f.eks. folk, der potentielt falder ned p\u00e5 skinnerne.<\/span><\/p>\n

Det britiske politi har tidligere eksperimenteret med AI-overv\u00e5gning og forts\u00e6tter med at g\u00f8re det ved nogle offentlige begivenheder, som de gjorde ved en <\/span>Beyonce-koncert sidste \u00e5r<\/span><\/a>.<\/p>\n

Men..,\u00a0det er <\/span>ofte v\u00e6ret ineffektive,<\/span><\/a> og menneskerettighedsgrupper har kritiseret teknologien og kaldt den en besv\u00e6rlig kr\u00e6nkelse af privatlivets fred og en kilde til fordomme og diskrimination.<\/span><\/p>\n

AI-videoteknologi har en problematisk historie med <\/span>mange projekter over hele verden underleverer<\/span><\/a> mens de nogle gange forbinder m\u00f8rkhudede mennesker med forbrydelser, de ikke har beg\u00e5et.\u00a0<\/span><\/p>\n

I l\u00f8bet af TfL's fors\u00f8gsperiode blev der genereret ca. 44.000 alarmer, hvoraf ca. 19.000 blev videresendt direkte til personalet med henblik p\u00e5 indgriben.<\/span><\/p>\n

Betjente deltog i tests ved at svinge v\u00e5ben som macheter og pistoler inden for CCTV's synsfelt (omend p\u00e5 tidspunkter, hvor stationen var lukket), med det form\u00e5l at tr\u00e6ne AI'en bedre.<\/span><\/p>\n

Her er den komplette liste over resultater:<\/span><\/p>\n

    \n
  1. Alarmer i alt<\/b>: Over 44.000 advarsler blev udsendt af AI-systemet.<\/span><\/li>\n
  2. Advarsler i realtid til stationens personale<\/b>: 19.000 blev leveret i realtid til stationens personale til \u00f8jeblikkelig handling.<\/span><\/li>\n
  3. Advarsler om unddragelse af billetpriser<\/b>: AI-systemet genererede 26.000 advarsler i forbindelse med billetunddragelse.<\/span><\/li>\n
  4. Advarsler om k\u00f8restole<\/b>: Der var 59 advarsler om k\u00f8restolsbrugere p\u00e5 stationen, som mangler ordentlige adgangsforhold for k\u00f8restolsbrugere.<\/span><\/li>\n
  5. Advarsler om sikkerhedslinjer<\/b>: N\u00e6sten 2.200 blev udstedt for personer, der krydsede de gule sikkerhedslinjer p\u00e5 perroner.<\/span><\/li>\n
  6. Advarsler p\u00e5 kanten af platformen<\/b>: Systemet genererede 39 advarsler om folk, der l\u00e6nede sig ud over kanten af togperronerne.<\/span><\/li>\n
  7. Udvidede siddepladser p\u00e5 b\u00e6nken<\/b>: N\u00e6sten 2.000 advarsler handlede om personer, der sad p\u00e5 b\u00e6nke i l\u00e6ngere tid, hvilket kunne indikere forskellige bekymringer, herunder passagerernes trivsel eller sikkerhedsrisici.<\/span><\/li>\n
  8. Advarsler om aggressiv adf\u00e6rd<\/b>: Der var 66 alarmer relateret til aggressiv adf\u00e6rd, selvom AI-systemet havde sv\u00e6rt ved at opdage s\u00e5danne h\u00e6ndelser p\u00e5lideligt p\u00e5 grund af utilstr\u00e6kkelige tr\u00e6ningsdata.<\/span><\/li>\n<\/ol>\n

    AI-systemet klarede sig dog ikke godt i nogle scenarier, hvilket f\u00f8rte til fejlagtige resultater, som f.eks. at b\u00f8rn, der gik gennem billetsp\u00e6rringer, blev betragtet som potentielle snydere.<\/span><\/p>\n

    If\u00f8lge TfL er det ultimative m\u00e5l at skabe et mere sikkert og effektivt r\u00f8r, der beskytter b\u00e5de offentligheden og personalet.\u00a0<\/span><\/p>\n

    AI-overv\u00e5gningsteknologi er ikke i sig selv forf\u00e6rdelig, n\u00e5r den bruges til offentlig sikkerhed, men n\u00e5r teknologien f\u00f8rst er der, er det en vanskelig opgave at holde den under kontrol.<\/p>\n

    Der er allerede tegn p\u00e5 Misbrug af AI i Storbritanniens offentlige sektor<\/a>og Skandaler i andre lande<\/a> indikerer, at det er et skr\u00e5plan, hvis det ikke h\u00e5ndteres med den st\u00f8rste forsigtighed.<\/p>","protected":false},"excerpt":{"rendered":"

    Londons undergrundsbane anvendte AI-overv\u00e5gningsteknologi i et \u00e5relangt fors\u00f8g. Fra oktober 2022 til september 2023 testede Transport for London (TfL) 11 forskellige algoritmer p\u00e5 undergrundsstationen Willesden Green, der ligger i den nordvestlige del af byen. If\u00f8lge detaljerede dokumenter, som WIRED er kommet i besiddelse af, involverede fors\u00f8get overv\u00e5gning af tusindvis af passagerers bev\u00e6gelser, adf\u00e6rd og kropssprog for at identificere potentielle kriminelle aktiviteter og sikkerhedsrisici. AI-softwaren, der var forbundet med live CCTV-optagelser (som er computer vision (CV)-grenen af maskinl\u00e6ring), blev tr\u00e6net til at identificere aggressiv adf\u00e6rd, v\u00e5ben, billetunddragelse og ulykker, som f.eks. mennesker, der potentielt...<\/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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