|Follow on Twitter as @RickSearle1|
Yet Lanier was only one of a set of prominent thinkers and technologists who have appeared over the last few months to challenge want they saw as a flawed narrative surrounding recent advances in artificial intelligence.
|Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
There was a piece in The New York Review of Books back in October by the most famous skeptic from the last peak in AI – back in the early 1980’s, John Searle. (Relation to the author lost in the mists of time) It was Searle who invented the well-know thought experiment of the “Chinese Room”, which purports to show that a computer can be very clever without actually knowing anything at all.
Searle was no less critical of the recent incarnation of AI, and questioned the assumptions behind both Luciano Floridi’s Fourth Revolution and Nick Bostrom’s Super-Intelligence.
Also in October, Michael Jordan, the guy who brought us neural and Bayesian networks (not the gentleman who gave us mind-bending slam dunks) sought to puncture what he sees as hype surrounding both AI and Big Data. And just the day before this Thanksgiving, Kurt Anderson gave us a very long piece in Vanity Fair in which he wondered which side of this now enjoined battle between AI believers and skeptics would ultimately be proven correct.
I think seeing clearly what this debate is and isn’t about might give us a better handle on what is actually going on in AI, right now, in the next few decades, and in reference to a farther off future we have to start at least thinking about it- even if there’s no much to actually do regarding the latter question for a few decades at the least.
The first thing I think one needs to grasp is that none of the AI skeptics are making non-materialistic claims, or claims that human level intelligence in machines is theoretically impossible. These aren’t people arguing that there’s some spiritual something that humans possess that we’ll be unable to replicate in machines. What they are arguing against is what they see as a misinterpretation of what is happening in AI right now, what we are experiencing with our Siri(s) and self-driving cars and Watsons. This question of timing is important far beyond a singularitarian’s fear that he won’t be alive long enough for his upload, rather, it touches on questions of research sustainability, economic equality, and political power.
Just to get the time horizon straight, Nick Bostrom has stated that top AI researchers give us a 90% probability of having human level machine intelligence between 2075 and 2090. If we just average those we’re out to 2083 by the time human equivalent AI emerges. In the Kurt Andersen piece, even the AI skeptic Lanier thinks humanesque machines are likely by around 2100.
Utopia or Dystopia where past meets future.
Source: Institute for Ethics and Emerging Technologies