The philosophy of Artificial intelligence

The philosophy of Artificial intelligence

Artificial Intelligence

The blind eye towards the philosophy of AI

Giant companies handling Artificial Intelligence are setting benchmarks and crossing milestones today. Artificial Intelligence is now a universe in itself, commerce that tops every other sort of business, an entity that each business uses.

However, it’s important to understand and remember that everything that’s good has some philosophy behind it. Artificial Intelligence too hides in the envelope of philosophy which the group isn’t conscious of. Hence the philosophy of AI is that the most underrated.

A fun game for philosophers: Artificial Intelligence and Philosophy

Given the very fact that AI may be a discipline, it happens to be of considerable interest for philosophers. These philosophers strive to read between the lines of Artificial Intelligence and its developments. They struggle to perceive every nook and cranny with logic which also involves deconstructionism, deontological attempts that adhere to the doxastic attitudes.

The strong and therefore the weak Artificial Intelligence

In simple terms, strong Artificial Intelligence  aims to make humanoids or human-like robots that are capable of surpassing human intelligence.

Weak Artificial Intelligence, on the contrary, is what most companies adhere to. The machines are designed to perform human tasks and emulate human skills.

The focus area of philosophers is to judge the potentials of the 2. Although, most philosophers hold a grudge against the strong AI and suggest overthrowing it. They accord that strong AI is probably going to cause damage, unlike weak AI that contributes to the progress of a nation.

How does philosophy affect artificial intelligence?

John McCarthy argues that the philosophy of AI is vital to think about because it impacts the practice of Artificial Intelligence.

It helps the practitioners to harp upon the foremost challenging questions, those which seem unanswerable.

Do we need a mind to be intelligent?

This is that one question has pains the minds of not only philosophers but Artificial Intelligence maestros also. There are conflicting opinions and views about it.

Alan Turing, in his days, had opined that any machine which will imitate a person is intelligent and formulated a test referred to as The Turing test. In his view, a machine that’s ready to behave like humans can pass the test.¬† Intelligence isn not important.

But this view continues to satisfy with criticisms as philosophers who are AI-fearing people generally.

Consciousness vs Intelligence

There is always a tug of war between consciousness and intelligence and just about the war is between philosophers and scientists.

While philosophers mostly stress the presence of a mind to be intelligent, scientists defy the argument by prioritizing consciousness.

The Chinese room experiment

Searle who had devised this experiment and chose himself for the sample, locked himself up during a room. There have been Chinese people standing outside the space. It was an allegation that these people  sent him cards written something on them in Chinese.

Searle on the opposite hand had no knowledge of the language Chinese.When they slipped their cards into space, Searle used a translator to answer them back.

The fun part was that the Chinese didn’t suspect that the person inside lacked knowledge of the language Chinese and did not have any objection to the answers provided to them in Chinese.

This experiment may be a great explainer of how consciousness works than intelligence. Being aware of the gadgets available and in situations that will prove useful are some things that are executed using consciousness.

Intelligence during this to decode the Chinese language supported certain symbols because that’s what the language consist of- a group of symbols.

Incessant debates

The debates on philosophy and AI cannot find any respite because one cannot talk in absolutes in matters like these.

However, the philosophy of AI provides scientists and practitioners to strive to resolve the grey areas. And therefore the constant challenges posed by the philosophers of AI open rooms for channelizing the improvements for AI.

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