The most dramatic chess match of the 20th century was the May 1997 rematch between the IBM supercomputer Deep Blue and world champion Garry Kasparov, which Deep Blue won. While this victory was considered by many a triumph for artificial intelligence, John McCarthy, who coined the very name of the field, was rather dismissive of this accomplishment.
human vs computer is abstraction vs brute force. In case of chess b.f. won. B.f. will goon improving, how about abstraction?
Regards
|=
While the question of whether machines will be capable of doing any work humans can do, certainly warrants some thought, the bigger question is going to be whether they SHOULD.
Everyone lists the agricultural industry as prime example of how technology has wiped out farmers by industrializing and scaling out food production. But more and more, people have come to realize that this has hurt more than helped. Animals are being inhumanely treated, the environment is being rampaged with fossil fuel waste and people do not realize the chemicals that they digest with all the herbicides/pesticides that are needed for large-scale farming. A few people are now advocating going back to roots: small-scale tech-free farming for a more viable future.
Another example is going to be the advent of Google's driverless car, which came out last year. Is it going to eliminate the driver's license, and the hundreds of jobs that go into some state's Department of Transport? Maybe. But if this technology is commercialized, the number of cars on the streets will probably double or triple, considering that insurance might be lowered, and far more people (such as those that are disabled) would be able to get a car. Do we really need more congested roads, and higher air pollution?
It will be a long time before machines will take over a large fraction of jobs, but eventually, these trends are going to indicate that we need to use AI more intelligently, and not just for feeding our capitalist greed.
"But if this technology is commercialized, the number of cars on the streets will probably double or triple, considering that insurance might be lowered, and far more people (such as those that are disabled) would be able to get a car. Do we really need more congested roads, and higher air pollution?"
Nonsense. Self-driving cars will enable more people to forgo personal ownership of a car. Cars will be able to come to you on demand. Opportunities to share a car will increase. And even if there are more cars on the road, which will happen over time with or without self-driving cars, traffic will flow more evenly. Even where there are now traffic lights, cars may be able to pass in both directions at once, with computer-controlled spacing.
And something like 30-40K people a year (just in the US) won't have to die in preventable accidents.
Cars? Why stick to 2D when there's a whole other dimension which we'll be enable us to travel as the crow flies when driver error is removed from the equation?
Icarus
maslows hierarchy of needs. soon we can do what we like rather than what we must. who would want the job copying figures from one ledger to another nowadays, yet there were complaints when it disappeared. who would want to drive a car for a living yuk. bring it on i say, and lets all move underground so we can keep the planets surface for fun things.
"Ars longa, vita brevis" - I am looking forward to it. To err is human. Perhaps one can think of an AI model that would help people make decisions in where use of AI will lead to more good than harm for the human race and our planet. So past mistakes like the overuse of machines in agriculture will less likely to happen. Many human decisions have caused much harm to humans themselves, most often unintentionally.
I remember, when I was child, reading a book, the title of which I've long since forgotten, that described the roles that robots and artificial intelligence would play in the future and how that would affect people. One of the more memorable chapters discussed how successive layers of high tech systems could be built on top of one another, each abstracting and amplifying functionality beneath it. It went on to say that if that system ever failed, it would be up to people with seemingly obsolete and rare skill sets to bring things back online.
In a similar way, it may be that computer scientists and engineers will still be needed in the future to fix these highly complex AI systems when they break down (as all things ultimately do).
In that sense, its just like our modern computers. We have all these fancy web applications and graphic user interfaces, but when everything breaks down (as it always does, even with Macs), I still need to know how to use things like vi or pico to get up and running again.
So I think there is good reason to think that Computer Science and Engineering jobs will still be around decades from now. How many of them will be around is another question though:)
can artificial intelligence think of the right decision with observing someone doing a wrong thing ?