Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration

Agrawal et al. argue that the framing of AI automation versus augmentation is wrong. Rather than being distinct they are often one and the same. They say that AI, initially intended for automating tasks, inadvertently acts as a force for augmentation of the broader workforce. For example, automating diagnostic skills in healthcare could diminish de... See more

Enough narrow AI infused with the data thrown off by billions of humans starts to look suspiciously like strong AI. In short, these are systems of collective intelligence that use algorithms to aggregate the collective knowledge and decisions of millions of individual humans. And that, of course, is also the classical conception of “the market”—the

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AI agents, monitored by humans, could potentially drastically reduce the need for human work while expanding the economy. The adjustment to this shift, if it were to occur, is hard to imagine. It will require a major rethinking of how we approach work and society. Shortened workweeks, universal basic income, and other policy changes might become a

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Platforms are increasingly governing participants’ opportunities and livelihoods, and with that comes the need for mutual accountability and evolving protections and responsibilities.