{"id":114738,"date":"2023-10-03T15:59:00","date_gmt":"2023-10-03T19:59:00","guid":{"rendered":"https:\/\/www.shortform.com\/blog\/?p=114738"},"modified":"2023-10-05T16:00:11","modified_gmt":"2023-10-05T20:00:11","slug":"digital-sweatshop","status":"publish","type":"post","link":"https:\/\/www.shortform.com\/blog\/digital-sweatshop\/","title":{"rendered":"Digital Sweatshops: The Dark Side of Artificial Intelligence"},"content":{"rendered":"\n

How is artificial intelligence (AI) trained? What are digital sweatshops? What can be done to prevent exploitation?<\/p>\n\n\n\n

With the artificial intelligence market projected to hit $1.3 trillion over the next decade, companies are scrambling to train their AI products. However, training AI comes with hidden costs. These include exploitative labor practices in developing countries and refugee camps.<\/p>\n\n\n\n

Continue reading to learn more about the dark side of AI.<\/p>\n\n\n\n\n\n\n\n

AI Training Practices Are Exploitative <\/h2>\n\n\n\n

With the AI market projected to grow from $40 billion in 2022 to $1.3 trillion or more in the next decade<\/a>, companies want to better position themselves to get a piece of the pie. This means continuously improving their AI products by training them. But what exactly does it mean to train AI, and who\u2019s tasked to do it?<\/p>\n\n\n\n

What Does It Mean to Train AI?<\/strong><\/h3>\n\n\n\n

Many people know AI as the tool that makes it easier to write emails, code, and generate images by typing a description in a chatbox. But the technology can do so much more in other fields, from energy production to health<\/a>\u2014and all this is possible because AI is trained on massive amounts of data<\/strong>. For example, you can ask OpenAI\u2019s ChatGPT<\/a> to write in a particular literary style because someone has fed it vast volumes of text from books and articles; self-driving cars can run on their own because they\u2019ve been trained to recognize objects like traffic signs and pedestrians.<\/p>\n\n\n\n

But an AI model\u2019s output is only as good as its input, so the data it\u2019s fed has to be of good quality. This is where humans come in: Scores of people are now tasked with <\/strong>data labeling<\/strong><\/a> (or data annotation), which entails reviewing and tagging text, images, audio, or video to help machines make sense of the data. <\/p>\n\n\n\n

Who Is Training AI?<\/strong><\/h3>\n\n\n\n

The manpower requirements to sift through and label so much data can be expensive, so companies often try to minimize labor costs<\/a>. Instead of employing local workers full time, they save money by outsourcing AI training<\/a> to workers in the Global South, in refugee camps, or even in prison.<\/p>\n\n\n\n

The Global South<\/strong><\/h4>\n\n\n\n

Some companies like OpenAI and Meta have used outsourcing companies to fill their AI training needs. These outsourcing companies, in turn, have found armies of workers in the Global South<\/a>, a term used to refer to developing countries in Africa, Asia, and Latin America.\u00a0<\/p>\n\n\n\n

Various outlets have reported that AI trainers in countries like <\/strong>Kenya<\/strong><\/a>, <\/strong>Venezuela<\/strong><\/a>, and the <\/strong>Philippines<\/strong><\/a> toil in \u201cdigital sweatshops\u201d<\/strong>\u2014crowded internet cafes or offices\u2014where they\u2019re often paid a pittance (around $1-3 an hour in Kenya, for example) for data labeling<\/a>. That\u2019s if they\u2019re even paid at all.<\/p>\n\n\n\n

Aside from exploitative labor practices, workers may also be forced to view traumatic content<\/strong>, tasked to label examples of, say, violence and sexual abuse<\/a> so that AI could learn to identify them. <\/p>\n\n\n\n

Refugee Camps<\/strong><\/h4>\n\n\n\n

Companies are also finding AI trainers in refugee camps<\/a> in places like Africa and the Middle East. The companies package the jobs as opportunities for refugees\u2014a way to help them stay afloat without giving them handouts (one company\u2019s motto: \u201cGive work, not aid\u201d). As in the Global South where it can be a struggle to make a living, refugee camps offer a ready supply of workers who are willing to take what they can get<\/strong> even without any assurance of rights, job security<\/a>, or a living wage.<\/p>\n\n\n\n

Prisons<\/strong><\/h4>\n\n\n\n

Offshore workers can largely train AI in English, which means companies that need to train AI in other languages have to look elsewhere. In Finland, where wages are high and unemployment benefits provide a sufficient safety net, the pay for AI training isn\u2019t enough to entice local Finnish-speaking workers, so companies are turning to the country\u2019s prisons for cheap labor<\/a>. At three Finnish prisons, data labeling is now one of the jobs that inmates can volunteer\u2014and get paid\u2014for<\/strong> (along with more traditional prison jobs like making road signs).\u00a0<\/p>\n\n\n\n

Companies say this is a way to empower inmates and prepare them for the outside world, but it remains to be seen whether the jobs actually give inmates transferable skills. <\/p>\n\n\n\n

What Can Be Done to Prevent Exploitation?<\/strong><\/h3>\n\n\n\n

While there are new or developing regulations surrounding AI<\/a>, they largely center on protecting the rights of users. To prevent people from being exploited, regulations would also need to consider the protection of workers<\/strong>, ensuring fair and transparent wage policies and humane working conditions. <\/p>\n","protected":false},"excerpt":{"rendered":"

How is artificial intelligence (AI) trained? What are digital sweatshops? What can be done to prevent exploitation? With the artificial intelligence market projected to hit $1.3 trillion over the next decade, companies are scrambling to train their AI products. However, training AI comes with hidden costs. These include exploitative labor practices in developing countries and refugee camps. Continue reading to learn more about the dark side of AI.<\/p>\n","protected":false},"author":8,"featured_media":114739,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[45,20],"tags":[727],"class_list":["post-114738","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business","category-ethics","tag-articles","","tg-column-two"],"yoast_head":"\nDigital Sweatshops: The Dark Side of Artificial Intelligence - Shortform Books<\/title>\n<meta name=\"description\" content=\"At this point, we've all heard of AI. But do you know how AI is trained? 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