Human stupidity: the greatest enemy of artificial intelligence

There is a tremendous ambiguity in the objectives of Artificial Intelligence (AI) and Mechanical Learning currently used by large companies who want to create an artificial intelligence that might perhaps match or exceed the abilities of the human mind.

As they develop, artificial intelligence or AI and machine learning or learning will be able to take on even more complex tasks, but it could take half a century or more before any AI reaches human-level intelligence at satisfactory levels. We've only seen the sequel in disaster movies, but what's certain is that super-intelligence seems to excite some, and terrify others. Meanwhile new technology continues to fuel science fiction for decades (see Skynet).artificial intelligence

Currently, artificial intelligence (AI) helps companies improve customer service or perfect their decision making by identifying trends in data that would otherwise be invisible. AI helps with automating common tasks, or even creating completely new services.

From the above it follows that every AI technology should consider several issues:

Artificial intelligence is a rapidly growing and interesting technology but it is not the answer to every problem. In particular, pay attention to the prefix "AI" in future product names because it does not necessarily mean that it is better than someone else who does not contain the prefix.

Additionally, the lack of skilled personnel who can make the most of the technologies, along with massively inflated expectations, could create a loss s.

But perhaps most dangerous is treating every AI like magic. A it is only as good as the data or rules human programmers supply it. The nature of algorithms that can learn and evolve without programmers will be slow to come and again this does not mean that their answers will be accepted without question.

Instead, we need to find ways to make sure that decision-making through AI is constantly being questioned. The challenge is the beginning of every science and every scientific discovery. So some researchers are looking at the use of too many factors, such as responsibility, explanation, accuracy, controllability and fairness. As you understand, because the concepts are abstract and not governed by specific laws, it takes too much work.

It is also important to look at the impact of artificial intelligence on its broadest meaning:

These technologies will have the potential to significantly change certain positions , να δημιουργήσουν μερικές και να καταστρέψουν άλλες. Οι προγραμματιστές αυτής της τεχνολογίας και οι χρήστες της θα πρέπει να εξετάσουν και να αναγνωρίσουν τις πιθανές θετικές και αρνητικές συνέπειες. Τα AI-powered αυτ vehicles can for example reduce pollution and make the a more fun – but it will also throw many drivers out of the job market. So we should understand more broadly and more discussions about the upcoming changes will follow.

As artificial intelligence and mechanical learning are not something we need to worry about. Our concern should focus on human intelligence and our ability to learn and predict the future.

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Written by giorgos

George still wonders what he's doing here ...

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