From James Zou and Londa Ziebinger at Nature: When Google Translate converts news articles written in Spanish into English, phrases referring to women often become ‘he said’ or ‘he wrote’. Software designed to warn people using Nikon cameras when the person they are photographing seems to be blinking tends to interpret Asians as always blinking. Word embedding, a popular algorithm used to process and analyse large amounts of natural-language data, characterizes European American names as pleasant and African American ones as unpleasant. Now where, we wonder, would a mathematical formula have learned that? Maybe it was listening to the wrong instructions back when it was just a tiny bit? Seriously, machine learning, we are told, depends on absorbing datasets of Read More ›
On Tuesday, entrepreneur Ivanka Trump told Wall Street Journal readers, The assembly line, energy plant and retail store have changed dramatically in the past 25 years—and the jobs have, too. Nearly 1 in 5 working Americans has a job that didn’t exist in 1980, many in technology, the fastest-growing segment across all industries. Such rapid change is one reason 6.6 million U.S. jobs are currently unfilled. More. Currently unfilled? We hear so much about how the AI revolution is gobbling industrial era jobs that the shortage of people trained for digital era jobs takes a while to register. Trump goes on to discuss new legislation to address the shortage by providing more relevant education to future jobseekers (paywall). Meanwhile, from the Read More ›
Thinking of philosophical materialism as a science must have seemed like a step forward at the time. Over twenty-five years later, there have been dozens of theories of consciousness jostling for the podium, most of them “worse than wrong,” even in the eyes of a sympathetic observer (2016). Not only has the materialist approach failed but in recent years, its failure has brought serious intellectual figures round to such views as consciousness is an illusion or that everything is conscious.
Doomsday thinking is easily mocked. The character marching hairy and barefoot under his “End Is Near” sign, is a staple of cartoons in middlebrow mags. Yet when media magnets market doomsday scenarios—like the late Stephen Hawking (“worst event in the history of our civilization”) and Elon Musk (“an immortal dictator from which we would never escape”) — it’s a Cool apocalypse.
The celebrity worry about superintelligent AI taking over and getting rid of us humans distracts our attention from a real-world fact: Artificial intelligence (AI) maximizes the opportunities while crashing the costs of corporate and government surveillance. Both have grown massively in recent years, with predictable results. The surveillants don’t by any means want to get rid of us. They want to take over and run our lives, ostensibly for our own good but certainly for theirs.
Brandom at The Verge fears that self-driving cars might be hitting an “AI roadblock.” On its face, full autonomy seems closer than ever. Waymo is already testing cars on limited-but-public roads in Arizona. Tesla and a host of other imitators already sell a limited form of Autopilot, counting on drivers to intervene if anything unexpected happens. There have been a few crashes, some deadly, but as long as the systems keep improving, the logic goes, we can’t be that far from not having to intervene at all. “Not having to intervene at all”? One is reminded of the fellow in C. S. Lewis’s anecdote who, when he heard that a more modern stove would cut his fuel bill in half, Read More ›