Artificial intelligence (AI) is often predicted as the power of progress, innovation, economic growth and unprecedented efficiency. Technology giants boast the potential to revolutionize the AI industry, increase productivity, and solve global problems such as climate change. However, under the story of Utopia, the economic reward of AI is concentrated to the north of the world. Labor exploitation and environmental destruction Outsourcing to the south of global. at Workers exploited after the AI training data set The expansion of AI is strengthening the historical pattern of inequality. AI deepens the world division (the term AI colonialism) rather than creating a democratic technical future.
Despite the recognition that AI is autonomous, this technology depends greatly on human labor, especially low -wage workers around the world who perform data labeling, content intervention and other boring digital tasks. In countries such as Kenya, India and the Philippines Millions of workers get about $ 1.50 per hour through a vast amount of data to train the AI model. In unstable performance economy. The essence of their work can be cruel. Kenya Content Armed For It spends several hours to review the violent and interfering data hired by subcontractors for platforms such as Facebook and Tiktok, and often suffers from psychological trauma without mental health support. In India AI trainer Images, warrior text and flags that are essential for refining machine learning algorithms are handled as disposable and are treated as stable contracts, fair wages and legal protection.
Silicon Valley executives have tremendous profits, but labor that supplies fuel to AI development is still invalid. AI is not just a neutral technology tool. Global exploitation system It reflects the colonial labor structure and extracts values from the southern part of the world, alienating workers.
AI is based on a huge environmental cost that is not only based on inexpensive labor, as well as an unbalanced developing country. Training in large AI models requires large -scale calculation ability, which leads to high energy consumption and carbon emissions. Single AI model like Openai’s GPT-3 It can be released as much as CO2 With five cars in a lifetime. This energy demand is leading the rapid expansion of data centers in areas where electricity and land are low, especially in the southern part of the world. Countries such as South Africa, Indonesia and Brazil have become a hub of AI infrastructure but have become deadly. This data center requires a vast amount of water for cooling. It worsens water shortage problemsTheir large -scale electricity consumption is often Carbon footprints increase depending on fossil fuels..
Meanwhile, extraction Rare minerals for AI hardware-Secognizing cobalt, nickel and lithium -forced environmental deterioration. In the Democratic Republic of Congo, where more than 70% of the world’s cobalt is mined, workers have an inhuman state. Dangerous and untreated minesOften with children during labor. similar Mining operation in the Philippines and Latin America It led to the foresting, water pollution and forced displacement of the Aboriginal community. These environmental results are not the same. The north side of global is through the convenience of AI and economic growth The climate burden falls unbalanced in the southern part of the world.The community is already facing serious climate vulnerability. This is a feature NECROEXPORTITATION -A system that continues to be a systematic damage of another person in the world of technology.
But some efforts on AI governance are already ongoing. As the first comprehensive regulatory framework for artificial intelligence AI law of the European Union It aims to manage AI risks, ensure transparency and adjust high -risk AI applications. Nevertheless, the jurisdiction is limited to Europe and except for the majority of AI workers, resource suppliers, and communitys that are affected by AI -centered environmental deterioration. Similarly, the voluntary AI principles of the OECD and UNESCO are It’s an ethical AI, but there is a lack of execution mechanism.Make sure that major technology companies can continue exploitation practices without results (OECD AI principles).
Therefore, true fair AI systems must go beyond local regulations. Global governance efforts must be adjusted to all related stakeholders with the following four goals. First, implementation Global labor Protection: AI should not be built in the same working conditions such as India, India, or sweatshots in Venezuela. The International Labor Organization (ILO) must establish a binding global AI labor standard to ensure collective bargaining rights for fair wages, industrial safety protection and AI workers.
Second, obligations AI hardware ethical sourcing: Cobalt, Nickel and Lithium (the importance of AI infrastructure) is ethically supplied through strict human rights due diligence to prevent child labor, dangerous working conditions and violent resources conflict.
Third, regulation AI carbon footprintThe environmental impact of AI is worse than most industries recognized. Data center now Consumes more electricity The emissions are 662% higher than that of Big Tech. AI regulations should include investments in carbon caps, mandatory transparency and carbon neutral AI training technologies.
Fourth, guarantee Delivered to the southern part of technologyThe power of the AI industry is concentrated in the hands of some wealthy companies in the northern part of the world and strengthens the technology dependence of developing countries. Instead of extracting resources and labor while limiting AI expertise to Silicon Valley, Global South Permission is granted Technology transfer contract, AI research funds and comprehensive AI infrastructure development.
For too long, AI has been composed of economic prosperity and progressive engines, with little recognition of human suffering and ecological destruction. But technology does not exist in vacuum. Rather, it reflects the political, economic and ethical choices of those who develop and control it. AI Digital colonialismBut it remains unless structural inequality is resolved.
The future of AI should not be built on the back of exploited workers, addicted environments and world inequality. Instead, it must be designed as a truly just and sustainable technology, the benefits are equally shared, the cost is quite distributed, and governance prioritizes human dignity and planet survival. This is not a technical challenge. It is a moral and political problem. The dismantling of AI colonialism requires a fundamental inventory of the person who serves AI, who gains profit, and who pays the expansion price. It is time for government, institutions and civil society to take responsibility. Extract AI economy And build a service to humanity as well as elite minority. AI is truly ethical and sustainable, and is only possible if we demand.
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