{"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\/fr\/2023\/11\/the-stories-of-underage-workers-in-the-ai-and-data-services-industry\/","title":{"rendered":"L'histoire des travailleurs mineurs dans l'industrie de l'IA et des services de donn\u00e9es"},"content":{"rendered":"

L'industrie de l'IA a des ant\u00e9c\u00e9dents probl\u00e9matiques en mati\u00e8re d'exploitation de la main-d'\u0153uvre. Des travailleurs se sont exprim\u00e9s au Venezuela, au Kenya et dans d'autres r\u00e9gions du monde o\u00f9 il existe d'importants march\u00e9s d'\u00e9tiquetage des donn\u00e9es et de formation \u00e0 l'IA.\u00a0<\/b><\/p>\n

Les grands mod\u00e8les d'IA comme ChatGPT et la famille de mod\u00e8les GPT n\u00e9cessitent de grandes quantit\u00e9s de donn\u00e9es, y compris des donn\u00e9es textuelles mod\u00e9r\u00e9es et \u00e9tiquet\u00e9es par des humains.<\/p>\n

L'objectif est d'\u00e9tiqueter le texte pour indiquer aux mod\u00e8les les diff\u00e9rents types de contenu, en particulier les contenus nuisibles ou ill\u00e9gaux. Cela permet d'\u00e9laborer des filtres et des garde-fous.<\/p>\n

Dans des cas pr\u00e9c\u00e9dents, au Kenya, des employ\u00e9s de la soci\u00e9t\u00e9 de services de donn\u00e9es Sama, qui travaillaient sur un projet pour OpenAI, ont \u00e9t\u00e9 expos\u00e9s \u00e0 des contenus contenant des th\u00e8mes d'abus sexuels troublants. <\/span><\/p>\n

Plusieurs travailleurs ont affirm\u00e9 qu'ils avaient souffert de probl\u00e8mes de sant\u00e9 mentale \u00e0 la suite de ces \u00e9v\u00e9nements. aboutissant \u00e0 une p\u00e9tition et \u00e0 une action en justice<\/a>.\u00a0<\/span><\/p>\n

Une situation similaire a \u00e9t\u00e9 observ\u00e9e dans le secteur de la mod\u00e9ration de contenu, o\u00f9 les travailleurs sont charg\u00e9s d'analyser les contenus potentiellement illicites sur les plateformes de m\u00e9dias sociaux.\u00a0<\/span><\/p>\n

Selon un nouveau rapport de WIRED<\/a>Ce travail s'\u00e9tend \u00e0 des individus particuli\u00e8rement jeunes, souvent issus de milieux d\u00e9favoris\u00e9s, qui sont attir\u00e9s par les plateformes en ligne promettant une flexibilit\u00e9 du travail et des salaires plus \u00e9lev\u00e9s que les normes locales. Cela se fait au prix d'une exposition \u00e0 des contenus pr\u00e9judiciables.<\/span><\/p>\n

Hassan, pseudonyme d'un jeune Pakistanais de 18 ans, est l'un de ces individus qui est devenu un travailleur mal pay\u00e9 dans la cha\u00eene d'approvisionnement mondiale de l'IA, \u00e9tiquetant des donn\u00e9es pour former des algorithmes pour certaines des plus grandes entreprises d'IA au monde.<\/span><\/p>\n

Ces t\u00e2ches sont souvent effectu\u00e9es par des travailleurs ind\u00e9pendants sur des plateformes de crowdsourcing telles que Toloka et Amazon Mechanical Turk. Hassan a commenc\u00e9 sa carri\u00e8re en ligne sur Toloka. Il a utilis\u00e9 les coordonn\u00e9es d'un parent pour contourner les restrictions d'\u00e2ge, une pratique courante chez les mineurs \u00e0 la recherche d'un tel travail.<\/span><\/p>\n

L'enqu\u00eate de WIRED a r\u00e9v\u00e9l\u00e9 de nombreux cas de travailleurs mineurs au Pakistan et au Kenya qui ont rejoint des plateformes telles que Toloka et Appen sous de faux pr\u00e9textes.\u00a0<\/span><\/p>\n

Le c\u00f4t\u00e9 obscur de l'\u00e9tiquetage des donn\u00e9es\u00a0<\/span><\/h2>\n

Si le travail d'\u00e9tiquetage des donn\u00e9es peut sembler inoffensif, il implique parfois de passer au crible des contenus d\u00e9rangeants.\u00a0<\/span><\/p>\n

Hassan a partag\u00e9 des enregistrements d'\u00e9cran de t\u00e2ches o\u00f9 il \u00e9tait expos\u00e9 \u00e0 un langage explicite et \u00e0 des images sexuellement suggestives. Il se souvient avoir \u00e9t\u00e9 confront\u00e9 \u00e0 des contenus profond\u00e9ment troublants, notamment des images sexualis\u00e9es de mineurs et des descriptions d'actes violents, qui continuent d'affecter sa sant\u00e9 mentale.<\/span><\/p>\n

L'attrait d'un salaire sup\u00e9rieur au salaire minimum national est une forte motivation pour ces jeunes.\u00a0<\/span><\/p>\n

Pour beaucoup, le travail r\u00e9mun\u00e9r\u00e9 est d'abord un moyen d'atteindre un but, comme financer un voyage ou subvenir aux besoins de leur famille. Cependant, les travailleurs endurent parfois de longues heures pour un maigre salaire, risquant de voir leur compte suspendu ou interdit pour des \u00e9carts mineurs dans leur travail.<\/span><\/p>\n

Pour Hassan, ce travail reste sa seule source de revenus, bien qu'il soit inscrit \u00e0 un programme de licence. Il note que la r\u00e9mun\u00e9ration a consid\u00e9rablement diminu\u00e9 \u00e0 mesure que de plus en plus de travailleurs rejoignaient ces plateformes, ce qui l'a amen\u00e9 \u00e0 qualifier la situation d'\"esclavage num\u00e9rique\".<\/span><\/p>\n

La situation ici refl\u00e8te pr\u00e9cis\u00e9ment celle d'autres rapports du Venezuela et du Kenya. Au Venezuela, des familles enti\u00e8res, y compris des enfants de 13 ans, ont \u00e9t\u00e9 impliqu\u00e9es dans les t\u00e2ches d'\u00e9tiquetage des donn\u00e9es.\u00a0<\/span><\/p>\n

Combin\u00e9e \u00e0 l'utilisation centralis\u00e9e de l'IA dans les soci\u00e9t\u00e9s les plus riches, cette situation a suscit\u00e9 des critiques \u00e0 l'\u00e9gard de l'IA. <\/span>la technologie comme \"coloniale\"<\/span><\/a> dans sa m\u00e9canique \u00e9trangement similaire \u00e0 la syst\u00e9matique du travail de l'\u00e9poque coloniale - une forme de \"servitude num\u00e9rique\".\u00a0<\/span><\/p>\n

Cela souligne la n\u00e9cessit\u00e9 de mettre en place des processus de v\u00e9rification de l'\u00e2ge plus stricts sur ces plateformes et soul\u00e8ve des questions sur l'\u00e9thique de l'approvisionnement en main-d'\u0153uvre dans l'industrie technologique.\u00a0<\/span><\/p>\n

Des cas similaires ont \u00e9t\u00e9 observ\u00e9s dans d'autres secteurs, par exemple des personnes de moins de 18 ans contournant la v\u00e9rification de l'\u00e2ge pour se rendre \u00e0 l'a\u00e9roport. <\/span>travailler pour des plates-formes de livraison telles que Deliveroo<\/span><\/a>.<\/span><\/p>\n

\u00c0 mesure que l'IA progresse, il devient de plus en plus crucial de veiller \u00e0 ce que ses pratiques fondamentales en mati\u00e8re de travail respectent les normes \u00e9thiques.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

L'industrie de l'IA a des ant\u00e9c\u00e9dents probl\u00e9matiques en mati\u00e8re d'exploitation de la main-d'\u0153uvre. Des travailleurs se sont exprim\u00e9s au Venezuela, au Kenya et dans d'autres r\u00e9gions du monde o\u00f9 il existe d'importants march\u00e9s d'\u00e9tiquetage des donn\u00e9es et de formation \u00e0 l'IA. Les grands mod\u00e8les d'IA comme ChatGPT et la famille de mod\u00e8les GPT n\u00e9cessitent de grandes quantit\u00e9s de donn\u00e9es, y compris des donn\u00e9es textuelles mod\u00e9r\u00e9es et \u00e9tiquet\u00e9es par des humains. L'objectif est d'\u00e9tiqueter le texte afin d'indiquer aux mod\u00e8les les diff\u00e9rents types de contenu, en particulier les contenus nuisibles ou ill\u00e9gaux. Cela permet de concevoir des filtres et des garde-fous. Dans des cas pr\u00e9c\u00e9dents, au Kenya, des travailleurs de la soci\u00e9t\u00e9 de services de donn\u00e9es Sama, dans le cadre d'un projet pour l'OpenAI, ont \u00e9t\u00e9 expos\u00e9s \u00e0 des contenus<\/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, 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