[2/2] Feeding the Machine (How to feed the car) (AI column)
Continue. survey I’ll tell you about the other chapters.
2) The Engineer (engineer) - here we go to London and watch the work of the AI engineer who trains models. For the sake of getting on time, you have to compromise on safety and quality, and to outsource it to African countries in order to reduce the cost of the process. 3) The Technician (technician) - here we go to Iceland, where it's now popular to build data centers because of the right climate. We are looking at all eyes of the technician in the data center, which supports the operation of machines. And then the authors analyze how the market of data centers and electricity for them is now, and also talk about the fiber-optic web that ties all this together. (||And a significant part of this key infrastructure is owned by multinational Bigtech companies, which strengthens their bargaining power with any government - they are almost their own governments and states.||) 4) The Artist (performer) - here tells a banal story about a voice actor who signed a voiceover contract with the transfer of full rights. And then this voice was digitized and used to generate artificial voice and text-to-speech tasks. This practice is increasingly being used around the world, which in fact leads artists to compete with digital versions of themselves. 5) The Operator (operator) - here we are talking about operators in the warehouse of Amazon, where they are managed by AI, which compiles a work plan, monitors its execution and so on. In general, their entire routine is controlled by performance monitoring systems. Here the authors draw parallels between modern practices and historical analogues like Ford conveyors. I remember the book.Nomadland" ("Nomadland")which I mean wrote earlier 6) The Investor (investor) The head analyzes the dilemma of investors in technology companies, forced to balance between ethical considerations and the desire for profit, demonstrating the internal contradictions of capitalism in the field of high technology. In general, there appears the only character described in the book who receives benefits from the extraction machine and is happy with the established order. This is actually a Silicon Valley investor who started out as an NGO employee and then quit to make money. As a result, he is doing everything to ensure that the startups in his portfolio grow, even if you need to squeeze all the juice from outsourcing from third countries. 7) The Organiser begins with the organizer of the data markers union, and then discusses strategies for collective action and labor organization aimed at improving the working conditions in the artificial intelligence industry. Rewiring the Machine – Here, the authors offer concrete recommendations for reforming artificial intelligence systems towards greater transparency and fairness by empowering workers and making technology corporations more accountable.
Artificial intelligence is not a neutral or fully automated technology. On the contrary, it is an extraction machine. (extraction machine)It depends on a huge amount of human labor that often remains hidden from the public. They describe the systematic exploitation of workers in the global supply chains that power AI technology, drawing parallels with historical forms of exploitation based on race, gender and colonial heritage. But they are not just thickening the color, but also advocating for greater transparency in AI development processes, greater worker rights through unions and collective action to hold big tech companies accountable and build a more equitable digital future. But I think the call will go unanswered and we will see further AI movement in parallel tracks: predatory capitalist in the US and inescapably socialist in China. It will be interesting to see which approach takes up.
#AI #Software #Management #Processes #Productivity