The classification of photos is a perfect example.
“We” think it’s about artificial intelligence that can recognize cats and dogs in pictures.In reality, it’s huge calculations, so math, in an effort to be able to do the same as our brain. And don’t underestimate the gigantic computing power needed to be in a photograph an animal, an object or I know what to recognize. Until a few years ago, we needed supercomputers to do this (the Cray type).
“We” must be well aware of the marketing intentions of the term “artificial intelligence”.It gives the inheave that it is about intelligence, “we” think massively on machines with feelings. I cannot emphasize it enough, this is CERTAINLY NOT the case.
If we understand the foregoing, then we can go to the next step.Namely, the different technological (r) evolutions in the history of man have changed the society drastically every time. When we were all farmers, the industrial revolution has driven many farmers into the city and the factories. At each rotation there are the extreme positivos that promise heaven. And you have the incredible doomsday thinkers who predict the end of humanity. Unfortunately, none of the two extremes have ever become true. Man and society adapts to the circumstances. Be sure that many peasant families were in pocket and ashes because they were getting worse with agriculture and the revenues associated with it. A man does not like to change. But there have been as well farmers who looked at the change and saw the opportunity. These were long before the others moved out of agriculture and were going to live in the city. It is about how long you are making the INEVITABLE.
To make it a bit recognizable, I will give an example, the iPhone.From the point of view of Apple, the phone must be put together at the lowest possible cost. Western companies have a far too high labor cost, putting an iPhone together is repetitive, annoying and difficult. Apple finally chose China, although they knew that there was a high risk of copying their device, any security problems, and what is left. But for Apple, only 1 thing counts and that’s profit. That is the system we are living in. You can have an opinion about it, but the system is now there and it is a given that you have to learn to deal with. Apple has regularly come across the news in connection with child labor in the low wage countries. Obviously no fine association for Apple. That is why this example is ideal. In the search for lower costs it is clear that machines can perform repetitive, annoying and potentially dangerous acts 24h a day and 7 days on 7. No pee break, smoke break, sick leave or vankantiedagen. Machinery and automation therefore need a method to perform certain operations. Visually, recognize objects, the place where a vice has to be twisted. The battery must be plugged in. They need to control servos or motors that can carry out the actions in three dimensions and check to be able to intervene quickly should something go wrong. Data from sensors should thus be processed at a high rate. Therefore, we have different types of algorithms which, depending on the application (classification of images, positioning, monitoring of deviations), must make the machines “intelligent”. And that’s not new, auto assembly is already largely automated. Quite a bit of mind-blowing work is taken over by robots. That is to say that people are in the place who build assembly lines. Maintain Robots. Because there are many more cars, there are also many more garages that do more maintenance and more repairs. Recycling factories, smelters and so on. The number of workers per plant has fallen. But did we always find the same screw turning in pleasant and challenging work? I don’t think so. And as a result, other jobs have been put in place. Distributed throughout the entire chain from production to recycling. Also, as far as the iPhone is concerned, machines have been turned on. They could produce more phones so the demand could be met. And then the demand has risen enormously so that the plant had to be bigger. Tablets have come from nowhere. Twenty years ago there were no jobs related to tablets. Now there are factories built, transport hubs, trucks, airplanes, machines. That is what you forget to tell. Electronics companies have grown enormously, and more electronics and chip producing factories have come. More engineers, logistics and what do I know yet. The point is that you have to see the change throughout the entire chain and society. It’s a change. And the one who wants to remain relevant who tries to find out as much as possible about the new technology. Who does not change, who does not seek, who does not want to understand, who has a much lower chance of success or work.
Just the same with Apple.Had they not looked at automation, they could never have met the demand and that cost per unit. Not only Apple is driven by cost, also every subcontractor wants to get the cost per unit as low as possible. If you can go lower than the current subcontractor of, for example, Apple, you can take over this business. The fundamental power of capitalism strives for cost reduction. And that can only be through automating tasks. And for automating tasks, you need complex algorithms. And the marketing guys found artificial intelligence sound fine.
Finally, I would like to share this, I know it is in English, but KI is too small a niche in Dutch.This is what you think, KI, Mathematics and statistics:
Because we can simply use it to our advantage.Furthermore, every new technology will make jobs disappear and create new ones.
That sounds regrettable and it is too, but we have to make progress.How this is dealt with is another discussion.