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You use artificial intelligence (AI) every day, mostly without noticing. It's how you're reading this tweet. But is today's AI technology really that world-changing? Thread 👇 (1/10) econ.trib.al/aECLbIO
In recent years, there has been a new wave of investment and research into AI. According to one prediction, AI will add $16trn to the global economy by 2030 (2/10) econ.trib.al/aECLbIO
Yet for all its strengths, AI also has serious limitations. As this realisation spreads, enthusiasm for the technology is cooling (3/10) econ.trib.al/uVYuDqd
Despite being the lifeblood of AI, data are a sticking-point. One of the dangers with AI models is "drift"—when the real world evolves faster than the machine, making its decisions less accurate over time (4/10) econ.trib.al/AC8CeQD
Furthermore, some bosses do not know what to use AI for, or how to to go about implementing it effectively (5/10) econ.trib.al/LtDgx8a
Training a computer is expensive, too. Many AI startups rent their processing power from cloud-computing firms like Amazon and Microsoft, resulting in bills of 25% of revenue or more (6/10) econ.trib.al/dnLPdiS
AI could advance medical progress, but it's unlikely to replace human doctors completely. "I can’t foresee a scenario in which a pop-up on your iPhone tells you you’ve got cancer," one ophthalmologist says (7/10) econ.trib.al/NN3tSdi
Driverless cars similarly make the case for human supervision. Machines struggle with unusual circumstances on the road: in 2018 a self-driving car being tested by Uber became the first to kill a pedestrian (8/10) econ.trib.al/TyTswaL
Those technological limits will be joined by human ones. As people become familiar with AI’s peculiar mix of power and fragility they may be reluctant to trust it with important decisions (9/10) econ.trib.al/uVYuDqd
So, what does all this mean for the future of AI? Read our latest Technology Quarterly to find out (10/10) econ.trib.al/aECLbIO
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