Fast Company shares an essay from an anthropologist who researches human agency, algorithms, AI, and automation in the context of social systems: With the advent of computational tools for quantitative measurement and metrics, and the development of machine learning based on the big data developed by those metrics, organizations, Amazon among them, started to transition through a period of what I refer to as "extreme data analysis," whereby anything and anyone that can be measured, is. This is a problem. Using counting, metrics, and implementation of outcomes from extreme data analysis to inform policies for humans is a threat to our well-being, and results in the stories we are hearing about in the warehouse, and in other areas of our lives, where humans are too often forfeiting their agency to algorithms and machines. Unfortunately, after decades of building this quantitative scaffolding, a company such as Amazon has pretty much baked it into their infrastructure and their culture.... As the world continues to automate things, processes, and services, humans are put in positions where we must constantly adapt, since at the moment, automation cannot, and does not, cooperate with us outside of its pre-programmed repertoire. Thus, in many instances we must do the yielding of our agency and our choices, to the algorithms or robots, to reach the cooperative outcomes we require.... If every process is eventually automated and restricts human agency, while simultaneously requiring our servitude to function, we will be pinned to the wall with no choices, nothing left to give, and no alternatives for coping with it. One example provided was the Amazon worker who complained the warehouse temperatures were always kept too hot -- to accommodate the needs of Amazon's robots. But the article argues we also forfeit agency "Every time we use a computer, or any computationally based device... "We do this by sitting or standing to use a keyboard, by typing, clicking, scrolling, checking boxes, pulling down menus, and filling in data in a way that the machine can understand."

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