{"id":78585,"date":"2025-10-15T00:03:42","date_gmt":"2025-10-15T04:03:42","guid":{"rendered":"https:\/\/world.edu\/?p=78585"},"modified":"2025-10-15T00:03:42","modified_gmt":"2025-10-15T04:03:42","slug":"digital-slavery-the-hidden-face-of-ai","status":"publish","type":"post","link":"https:\/\/world.edu\/digital-slavery-the-hidden-face-of-ai\/","title":{"rendered":"Digital Slavery: The Hidden Face of AI"},"content":{"rendered":"

\"\"<\/span><\/p>\n

Will artificial intelligence put an end\u00a0<\/span>to work<\/span><\/a>\u00a0? It’s one of the\u00a0<\/span>most frequently asked questions<\/span><\/a>\u00a0at conferences, media gatherings, and political forums. The promise made by the leaders of Silicon Valley’s major tech companies is clear:\u00a0<\/span>future artificial superintelligences<\/span><\/a>\u00a0will take over all kinds of jobs, and humans will be able to dedicate themselves to creativity, leisure, and a full life. A utopia with almost Renaissance overtones in which\u00a0<\/span>technological progress would open the doors<\/span><\/a>\u00a0to a new golden age for humanity.<\/span><\/p>\n

However, this triumphalist and simplistic narrative obscures a much more uncomfortable, rarely mentioned reality: millions of anonymous workers sustain the machinery of AI with their effort, suffering, and time. Artificial intelligence\u00a0<\/span>isn’t eliminating work: it’s transforming it<\/span><\/a>\u00a0, fragmenting it, and, much worse, making it precarious. Behind every generative model, every conversational assistant, and every image produced by algorithms, there are millions of invisible workers whose labor is essential for AI to function.<\/span><\/p>\n

Far from the sugarcoated vision of an effortless future, AI is built on a present marked by the globalized exploitation of cheap labor.<\/span><\/p>\n

The invisible workers of AI<\/span><\/strong><\/h4>\n

They are the so-called\u00a0<\/span>data workers<\/span><\/em>\u00a0or “click workers,” people in charge of classifying and labeling images, correcting texts, transcribing audio, pointing out errors in machine translations, and, above all, cleaning up the ocean of data that feeds the algorithms.<\/span><\/p>\n

Without them, the algorithms, which are then presented as intelligent, simply would not work.<\/span><\/p>\n

As\u00a0<\/span>Mary Gray and Siddhart Suri explain<\/span><\/a>\u00a0, AI’s supposed intelligence is inseparable from the work of humans “behind the scenes.” Meanwhile,\u00a0<\/span>John P. Nelson points out<\/span><\/a>\u00a0that seemingly intelligent\u00a0<\/span>chatbots<\/span><\/em>\u00a0only exist because hundreds of thousands of people train, correct, and monitor their responses.<\/span><\/p>\n

The\u00a0<\/span>chatbots<\/span><\/em>\u00a0that today respond to millions of queries daily are not the exclusive result of the talent of highly paid Californian engineers, but rather the exploitation of a massive, dispersed, and invisible workforce.<\/span><\/p>\n

Sociologist\u00a0<\/span>Antonio Casilli sums it up<\/span><\/a>\u00a0succinctly: artificial intelligence is, in reality, intelligence of “sweat and tears.” Algorithms don’t learn by themselves; they simply reproduce patterns based on the previous work of millions of people.<\/span><\/p>\n

According to\u00a0<\/span>World Bank estimates<\/span><\/a>\u00a0, between 4.4% and 12.5% \u200b\u200bof the global workforce (approximately 150 million to 425 million people) already participate in some way in this invisible digital economy. Google, in 2022, already\u00a0<\/span>estimated<\/span><\/a>\u00a0that this number could soon exceed one billion.<\/span><\/p>\n

The Dark Side: Violence, Pornography, and Psychological Damage<\/span><\/strong><\/h4>\n

The most disturbing aspect of this work is not only the precarious wages, but the type of content many workers must face. For an AI system to be able to recognize hate speech, someone must have read it, classified it, and flagged it as such. For a model to learn to filter out pornography, extreme violence, or pedophile material, someone must have first seen it.<\/span><\/p>\n

Thousands of people in Kenya, the Philippines, Pakistan, and India spend entire days exposed to the worst of the human condition: threats of rape, descriptions of torture, and video recordings of murders. In an article in\u00a0The Washington Post<\/em><\/a><\/span> , Rebecca Tan and Regine Cabato<\/span><\/a>\u00a0document how these extreme working conditions are systematic and affect millions of workers around the world.<\/span><\/p>\n

This continued exposure leads to devastating consequences: anxiety, depression, insomnia, and, in many cases, post-traumatic stress disorder that persist even years after leaving the job.<\/span><\/p>\n

The French documentary\u00a0<\/span>Les sacrifi\u00e9s de l’AI<\/span><\/a><\/em>\u00a0(“The Sacrifices of AI” (Henri Poulain, 2024) collects harrowing testimonies from workers who never recovered from the psychological damage. In many cases, they didn’t even have access to minimal therapeutic support, because the subcontracted companies that manage these tasks rarely offer psychological support. Silence is also enforced through confidentiality contracts that prohibit discussing work, even with close family members.<\/span>
\n