The Fallibility of Predicting Technological Innovation

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Scientists, technologists, and philosophers have often made inaccurate predictions about the future of innovation, highlighting the difficulty of foreseeing technological risks.

Time and again, leading scientists, technologists, and philosophers have made spectacularly terrible guesses about the direction of innovation. Even Einstein was not immune, claiming, “There is not the slightest indication that nuclear energy will ever be obtainable,” just ten years before Enrico Fermi completed construction of the first fission reactor in Chicago. Shortly thereafter, the consensus switched to fears of an imminent nuclear holocaust.

Focusing on the economic risks from AI is not simply about preventing “monopoly,” “self-preferencing,” or “Big Tech dominance”. It’s about ensuring that the economic environment facilitating innovation is not incentivising hard-to-predict technological risks as companies “move fast and break things” in a race for profit or market dominance.

Degrading quality for higher profit It is instructive to consider how the algorithmic technologies that underpinned the aggregator platforms of old initially deployed to benefit users, were eventually reprogrammed to increase profits for the platform. For example, Amazon’s millions of users rely on its product search algorithms to show them the best products available for sale, since they are unable to inspect each product individually. These algorithms save everyone time and money: by helping users navigate through thousands of products to find the ones with the highest quality and the lowest price, and by expanding the market reach of suppliers through Amazon’s delivery infrastructure and immense customer network.

Amazon is one the most striking examples of a company pivoting away from its original “virtuous” mission towards an extractive business model. But it is far from alone. User preferences were downgraded in algorithmic importance in favour of more profitable content. For social media platforms, this was addictive content to increase time spent on platform at any cost to user health. Meanwhile, the ultimate suppliers of value to their platform – the content creators, website owners and merchants – have had to hand over more of their returns to the platform owner.

Thankfully, society is not helpless in shaping the economic risks that invariably arise after each new innovation. Risks brought about from the economic environment in which innovation occurs are not immutable. Market structure is shaped by regulators and a platform’s algorithmic institutions . Together, these factors influence how strong the network effects and economies of scale and scope are in a market, including the rewards to market dominance.

Source: Tech Daily Report (techdailyreport.net)

Innovation Scientists Technologists Philosophers Predictions Risks Technological Risks

 

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