Automation and Artificial Intelligence

Automation

The use of automation in society is growing heavily, and right so. It can improve life, functions, and free up time for other things. It can help perform tasks which need to be flawless with no errors, or do calculations that would take much longer with any other method.

Artificial Intelligence

In the future, artificial intelligence (AI) will help to automate many repetative and simple services that humans currently do. It is an important topic to talk about, because no matter how much companies believe that their robots will be only be taking jobs that humans won't be doing or have been doing, they will eventually once their cost to replace a human is significant.

There are different forms of artificial intelligence that many people do not realize. Most people think that there is just one type that works the same way in all applications. That might eventually be the case in the future, but in the meantime, we're so far only dealing with lower level forms of artificial intelligence in the form of slow learning by simple repetition. We will discuss the various types of AI in this page in the near future, so check back later if you're interested in this topic.

The downsides

However, many automated technologies which are downright annnoying, serve some people and not others.

Repetitive and systematic tasks can have full and direct automation with maximum benefits. For everything else, if there are some people who would not benefit or like a specific automation, then the ability to change the automation, turn it off, or provide supplemental manual overrides, needs to be an easily accessible option.

Far too many times are things programmed in such a way that the programmer believes the automation is the best way to do something, then alienates the user who does not believe that to be the case and instead annoys them in doing their daily tasks.

Where are we at with automation and AI today?

We still have a long way to go. We've already been able to see a lot of new advancements in such things like voice recognition and information searching, as well as self-driving cars. But in reality, these are not true AI but instead machine AI. Machine AI is mostly just good at repeating things it has already learned, but with the ability to make predictions and store extra feedback for future use. But it is still only as good as its programmer, as it can still fail when it comes upon something that is not in it's coding specifications.

Here is an example of the first test of self-flying airplanes. It is an example of what can happen when the computer comes upon something it doesn't understand.

A new automated take-off system aborts it's take-off frightenly abruptly.