{"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\/da\/2023\/11\/the-stories-of-underage-workers-in-the-ai-and-data-services-industry\/","title":{"rendered":"Historierne om mindre\u00e5rige arbejdere i AI- og dataserviceindustrien"},"content":{"rendered":"

AI-industrien har en problematisk historie med udnyttelse af arbejdskraft, og arbejdere i Venezuela, Kenya og andre dele af verden med store markeder for datam\u00e6rkning og AI-tr\u00e6ning har sagt fra.\u00a0<\/b><\/p>\n

Store AI-modeller som ChatGPT og GPT-familien af modeller kr\u00e6ver store m\u00e6ngder data, herunder tekstdata, der er modereret og m\u00e6rket af mennesker.<\/p>\n

M\u00e5let er at m\u00e6rke tekst for at instruere modeller om forskellige typer indhold, is\u00e6r skadeligt eller ulovligt indhold. Det hj\u00e6lper med at konstruere filtre og v\u00e6rn.<\/p>\n

I tidligere tilf\u00e6lde i Kenya blev medarbejdere hos dataservicefirmaet Sama, der arbejdede p\u00e5 et projekt for OpenAI, udsat for indhold, der indeholdt temaer om foruroligende seksuelt misbrug. <\/span><\/p>\n

Flere arbejdere h\u00e6vdede, at de havde f\u00e5et psykiske problemer som f\u00f8lge heraf, og til sidst som kulminerer i en underskriftsindsamling og en retssag<\/a>.\u00a0<\/span><\/p>\n

Noget lignende er set i indholdsmoderationsbranchen, hvor medarbejdere er ansvarlige for at analysere potentielt ulovligt indhold p\u00e5 tv\u00e6rs af sociale medieplatforme.\u00a0<\/span><\/p>\n

If\u00f8lge en ny rapport fra WIRED<\/a>Dette arbejde omfatter is\u00e6r unge mennesker, ofte med en fattig baggrund, som tiltr\u00e6kkes af onlineplatforme, der lover arbejdsfleksibilitet og h\u00f8jere l\u00f8nninger end de lokale standarder. Dette sker p\u00e5 bekostning af eksponering for skadeligt indhold.<\/span><\/p>\n

Hassan, et pseudonym for en 18-\u00e5rig fra Pakistan, er en af dem, der blev en lavtl\u00f8nnet medarbejder i den globale AI-forsyningsk\u00e6de, hvor han m\u00e6rkede data for at tr\u00e6ne algoritmer for nogle af verdens st\u00f8rste AI-virksomheder.<\/span><\/p>\n

Gig-arbejdere p\u00e5 crowdsourcing-platforme som Toloka og Amazon Mechanical Turk p\u00e5tager sig ofte disse opgaver. Hassan startede sin onlinekarriere p\u00e5 Toloka. Han brugte oplysninger fra en sl\u00e6gtning til at omg\u00e5 aldersbegr\u00e6nsninger, hvilket er en almindelig praksis blandt mindre\u00e5rige, der s\u00f8ger den slags arbejde.<\/span><\/p>\n

WIREDs unders\u00f8gelse afsl\u00f8rede flere tilf\u00e6lde af mindre\u00e5rige arbejdere i Pakistan og Kenya, der kom med p\u00e5 platforme som Toloka og Appen under falske foruds\u00e6tninger.\u00a0<\/span><\/p>\n

Den m\u00f8rke side af datam\u00e6rkning\u00a0<\/span><\/h2>\n

Selv om arbejdet med datam\u00e6rkning kan virke uskyldigt, indeb\u00e6rer det nogle gange, at man gennemg\u00e5r foruroligende indhold.\u00a0<\/span><\/p>\n

Hassan delte sk\u00e6rmoptagelser af opgaver, hvor han blev udsat for eksplicit sprog og seksuelt anmassende billeder. Han husker, at han havde at g\u00f8re med dybt bekymrende indhold, herunder seksualiserede billeder af mindre\u00e5rige og beskrivelser af voldelige handlinger, som fortsat p\u00e5virker hans mentale helbred.<\/span><\/p>\n

Tiltr\u00e6kningen ved at tjene mere end den nationale mindstel\u00f8n er en st\u00e6rk drivkraft for disse unge.\u00a0<\/span><\/p>\n

For mange starter gig-arbejde som et middel til at n\u00e5 et m\u00e5l, f.eks. at finansiere en rejse eller fors\u00f8rge deres familie. Men nogle gange udholder arbejderne lange arbejdstider for en ringe l\u00f8n og risikerer at f\u00e5 deres konto suspenderet eller udelukket for mindre afvigelser i deres arbejde.<\/span><\/p>\n

For Hassan er dette arbejde fortsat hans eneste indt\u00e6gtskilde p\u00e5 trods af, at han er i gang med en bacheloruddannelse. Han bem\u00e6rker, at l\u00f8nnen er faldet markant i takt med, at flere arbejdere har sluttet sig til disse platforme, hvilket f\u00e5r ham til at kalde situationen for \"digitalt slaveri\".<\/span><\/p>\n

Situationen her afspejler pr\u00e6cist situationen i andre rapporter fra Venezuela og Kenya. I Venezuela var hele familier, inklusive b\u00f8rn p\u00e5 13 \u00e5r, involveret i datam\u00e6rkningsopgaver.\u00a0<\/span><\/p>\n

Kombineret med AI's centraliserede brug i overvejende mere velhavende samfund har dette f\u00f8rt til kritik af AI. <\/span>Teknologi som \"kolonial\"<\/span><\/a> i sin uhyggeligt lignende mekanik til kolonitidens arbejdssystematik - en form for \"digital tr\u00e6ldom\".\u00a0<\/span><\/p>\n

Det understreger behovet for strengere aldersbekr\u00e6ftelsesprocesser p\u00e5 disse platforme og rejser sp\u00f8rgsm\u00e5l om den etiske sourcing af arbejdskraft i tech-industrien.\u00a0<\/span><\/p>\n

Der har v\u00e6ret lignende h\u00e6ndelser i andre brancher, f.eks. at unge under 18 \u00e5r har omg\u00e5et aldersbekr\u00e6ftelsen for at <\/span>tage arbejde op for leveringsplatforme som Deliveroo<\/span><\/a>.<\/span><\/p>\n

I takt med at AI udvikler sig, bliver det stadig vigtigere at sikre, at den grundl\u00e6ggende arbejdspraksis overholder etiske standarder.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

AI-industrien har en problematisk historie med udnyttelse af arbejdskraft, og arbejdere i Venezuela, Kenya og andre dele af verden med store markeder for datam\u00e6rkning og AI-tr\u00e6ning har udtalt sig. Store AI-modeller som ChatGPT og GPT-familien af modeller kr\u00e6ver store m\u00e6ngder data, herunder tekstdata, der er modereret og m\u00e6rket af mennesker. M\u00e5let er at m\u00e6rke tekst for at instruere modeller om forskellige typer indhold, is\u00e6r skadeligt eller ulovligt indhold. Det hj\u00e6lper med at konstruere filtre og v\u00e6rn. I tidligere tilf\u00e6lde i Kenya blev medarbejdere hos datatjenestefirmaet Sama p\u00e5 et projekt for OpenAI udsat for indhold<\/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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