We can better make sense of artificial intelligence and its risks, if we understand that the intelligence of AI is shaped by the ways in which we created them, says this University of Bath professor.
That didn’t work, so they ended up taking some shortcuts. This move might well turn out to be one of the most consequential decisions in our history.The first shortcut was to rely on making decisions based on statistical patterns found in data. This removed the need to actually understand the complex phenomena that we wanted the machines to emulate, such as language. The auto-complete feature in your messaging app can guess the next word without understanding your goals.
This approach rapidly spread to other domains, introducing a new problem: sourcing the data necessary to train statistical algorithms. How can we stop machines from amassing our personal data, when this is the very fuel that makes them operate? How can a machine be expected to stop harmful content from reaching users, when it is designed to learn what makes people click?
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