{"id":7432,"date":"2023-11-15T15:45:08","date_gmt":"2023-11-15T15:45:08","guid":{"rendered":"https:\/\/dailyai.com\/?p=7432"},"modified":"2023-11-15T15:52:47","modified_gmt":"2023-11-15T15:52:47","slug":"the-stories-of-underage-workers-in-the-ai-and-data-services-industry","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2023\/11\/the-stories-of-underage-workers-in-the-ai-and-data-services-industry\/","title":{"rendered":"Historiene om mindre\u00e5rige arbeidstakere i AI- og datatjenestebransjen"},"content":{"rendered":"

AI-industrien har en problematisk historie med utnyttelse av arbeidskraft, og arbeidere i Venezuela, Kenya og andre deler av verden med store markeder for datamerking og AI-oppl\u00e6ring har gitt uttrykk for dette.\u00a0<\/b><\/p>\n

Store AI-modeller som ChatGPT og GPT-familien av modeller krever enorme mengder data, inkludert tekstdata som er moderert og merket av mennesker.<\/p>\n

M\u00e5let er \u00e5 merke tekst for \u00e5 instruere modeller om ulike typer innhold, s\u00e6rlig skadelig eller ulovlig innhold. Dette bidrar til \u00e5 konstruere filtre og beskyttelsestiltak.<\/p>\n

I tidligere tilfeller i Kenya har ansatte i datatjenesteselskapet Sama, som jobbet med et prosjekt for OpenAI, blitt eksponert for innhold som inneholdt temaer med urovekkende seksuelle overgrep. <\/span><\/p>\n

Flere arbeidere hevdet at de hadde f\u00e5tt psykiske problemer som f\u00f8lge av dette, og til slutt som kulminerte i en underskriftskampanje og et s\u00f8ksm\u00e5l<\/a>.\u00a0<\/span><\/p>\n

Det samme har blitt observert i bransjen for innholdsmoderering, der ansatte er ansvarlige for \u00e5 analysere potensielt ulovlig innhold p\u00e5 sosiale medier.\u00a0<\/span><\/p>\n

If\u00f8lge en ny rapport fra WIRED<\/a>Dette arbeidet omfatter s\u00e6rlig unge mennesker, ofte fra fattige k\u00e5r, som tiltrekkes av nettbaserte plattformer som lover fleksibilitet og h\u00f8yere l\u00f8nninger enn lokale standarder. Dette skjer p\u00e5 bekostning av eksponering for skadelig innhold.<\/span><\/p>\n

Hassan, et pseudonym for en 18-\u00e5ring fra Pakistan, er en av dem som ble en lavtl\u00f8nnet arbeidstaker i den globale AI-leverand\u00f8rkjeden, der han merket data for \u00e5 trene opp algoritmer for noen av verdens st\u00f8rste AI-selskaper.<\/span><\/p>\n

Gigarbeidere p\u00e5 crowdsourcing-plattformer som Toloka og Amazon Mechanical Turk p\u00e5tar seg ofte disse oppgavene. Hassan startet sin karriere p\u00e5 Toloka. Han brukte opplysninger fra en slektning for \u00e5 omg\u00e5 aldersbegrensninger, noe som er vanlig blant mindre\u00e5rige som s\u00f8ker slikt arbeid.<\/span><\/p>\n

WIREDs unders\u00f8kelse avsl\u00f8rte flere tilfeller av mindre\u00e5rige arbeidere i Pakistan og Kenya som ble med p\u00e5 plattformer som Toloka og Appen under falske p\u00e5skudd.\u00a0<\/span><\/p>\n

Den m\u00f8rke siden ved datamerking\u00a0<\/span><\/h2>\n

Selv om arbeidet med datamerking kan virke harml\u00f8st, inneb\u00e6rer det noen ganger \u00e5 g\u00e5 gjennom forstyrrende innhold.\u00a0<\/span><\/p>\n

Hassan delte skjermopptak av oppgaver der han ble eksponert for eksplisitt spr\u00e5kbruk og seksuelt anmassende bilder. Han forteller at han ble eksponert for sv\u00e6rt urovekkende innhold, inkludert seksualiserte bilder av mindre\u00e5rige og beskrivelser av voldelige handlinger, noe som fortsatt p\u00e5virker hans psykiske helse.<\/span><\/p>\n

Det \u00e5 tjene mer enn den nasjonale minstel\u00f8nnen er en sterk motivasjonsfaktor for disse ungdommene.\u00a0<\/span><\/p>\n

For mange begynner gigjobbing som et middel til \u00e5 n\u00e5 et m\u00e5l, for eksempel \u00e5 finansiere en reise eller fors\u00f8rge familien. Men noen ganger m\u00e5 arbeiderne utholde lange arbeidsdager for d\u00e5rlig betaling, og risikerer \u00e5 f\u00e5 kontoen sin sperret eller utestengt for mindre avvik i arbeidet.<\/span><\/p>\n

For Hassan er dette arbeidet fortsatt hans eneste inntektskilde, til tross for at han er i gang med en bachelorutdanning. Han bemerker at l\u00f8nnen har g\u00e5tt betydelig ned i takt med at flere arbeidstakere har sluttet seg til disse plattformene, noe som har f\u00e5tt ham til \u00e5 kalle situasjonen \"digitalt slaveri\".<\/span><\/p>\n

Situasjonen her gjenspeiler n\u00f8yaktig situasjonen i andre rapporter fra Venezuela og Kenya. I Venezuela var hele familier, inkludert barn p\u00e5 13 \u00e5r, involvert i arbeidet med \u00e5 merke data.\u00a0<\/span><\/p>\n

Kombinert med den sentraliserte bruken av kunstig intelligens i hovedsakelig mer velst\u00e5ende samfunn, har dette f\u00f8rt til kritikk av <\/span>teknologi som \"kolonial\"<\/span><\/a> i sin uhyggelig like mekanikk som kolonitidens arbeidssystematikk - en form for \"digitalt slaveri\".\u00a0<\/span><\/p>\n

Dette understreker behovet for strengere aldersverifiseringsprosesser p\u00e5 disse plattformene, og reiser sp\u00f8rsm\u00e5l om den etiske anskaffelsen av arbeidskraft i teknologibransjen.\u00a0<\/span><\/p>\n

Det har v\u00e6rt lignende tilfeller i andre bransjer, for eksempel at personer under 18 \u00e5r omg\u00e5r alderskontroll for \u00e5 <\/span>ta arbeid for leveringsplattformer som Deliveroo<\/span><\/a>.<\/span><\/p>\n

Etter hvert som kunstig intelligens utvikler seg, blir det stadig viktigere \u00e5 sikre at den grunnleggende arbeidspraksisen er i samsvar med etiske standarder.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

AI-bransjen har en problematisk historie med utnyttelse av arbeidskraft, og arbeidere i Venezuela, Kenya og andre deler av verden med store markeder for datamerking og AI-trening har uttalt seg om dette. Store AI-modeller som ChatGPT og GPT-familien av modeller krever enorme mengder data, inkludert tekstdata som modereres og merkes av mennesker. M\u00e5let er \u00e5 merke tekst for \u00e5 instruere modellene om ulike typer innhold, s\u00e6rlig skadelig eller ulovlig innhold. Dette bidrar til \u00e5 utvikle filtre og beskyttelsestiltak. I tidligere tilfeller i Kenya ble ansatte i datatjenesteselskapet Sama, som jobbet med et prosjekt for OpenAI, eksponert for innhold<\/p>","protected":false},"author":2,"featured_media":7433,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[377,160],"class_list":["post-7432","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-data-labeling","tag-data-science"],"yoast_head":"\nThe stories of underage workers in the AI and data services industry | DailyAI<\/title>\n<meta name=\"description\" content=\"The AI industry has a tricky history of labor exploitation, with workers speaking out in Venezuela, Kenya, and other parts of the world with large data labeling and AI training markets.\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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