Pundits like Nick Bostrom and Ray Kurzweil worry that smart AI will rule us. But, as the Carnegie Index shows, conventional dictators using conventional AI for mass surveillance are a growing real-world problem while smart AI remains science fiction.
Read More ›
If I have a coffee cup with “AI inside,” it’s probably connected to the Internet, which is just another way of saying that my coffee cup is transmitting data to some company’s servers about my coffee drinking habits. Whatever benefit the app provides will come at a cost to my autonomy, privacy, and competence as a person.
Read More ›
To see what I mean about centralization, consider a non-digital tool, say, a shovel. The shovel doesn’t keep track of your shoveling, read your biometrics, and store a file on you-as-shoveler somewhere. It’s a thing, an artifact. So you see, the new digital technology is itself the heart of the surveillance problem. No Matrix could be built with artifacts.
Read More ›
The official Winograd Schema Challenge, organized by Levesque and friends to see if AI could learn common sense, was retired officially in 2016 for the embarrassing reason that even the well-funded bleeding age Google Brain team performed poorly on a test set of a few hundred questions.
Read More ›
AI does pose at least one threat to filmmaking. It could intensify the very tone-deafness that studios hope it can fix: Too much reliance on ever more finely grained analysis of the patterns in past data could blind decision makers to the real risks, volatility, and opportunities in the future. That’s a recipe for losing money and inflicting “Oh, not that again!” on audiences.
Read More ›
Remembering the prophecies for the web in the halcyon days of ten or (better) fifteen years ago is strangely painful and disorienting, like a hangover, largely because we so silently abandoned its ideals.
Read More ›
We’re stuck, working for free, training the Web giants’ ML systems to reap benefits for them while enduring (assuming we notice) the downsides.
Read More ›
The limits of science can be as instructive as the discoveries. If science someday proved that computer systems could never reproduce some aspect of mind, we'd have learned something important about the nature of mind.
Read More ›
Kurt Gödel (1906–1978) proved that there are truths in mathematical logic that lie outside mathematical logic, which means that the mind cannot be understood simply as a computer.
Read More ›