An Iq Test Often Used For Second-Language Learners Is The Philosophy, Machines, and AI

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Philosophy, Machines, and AI

Is philosophy undergoing a radical transformation? In recent times, this question has been very popular especially after the radical development that has taken place in machine learning and artificial intelligence. Whether this radical development and the application of such knowledge in machine learning and artificial intelligence has enabled a radical transformation of traditional philosophy?

What is philosophy?

The discipline concerned with the questions of how one should live (ethics); what kinds of things exist and what are their essential natures (metaphysics); what counts as real knowledge (epistemology); and what are the correct principles of reasoning (logic)?Wikipedia

Some definitions:

Investigation of the nature, causes, or principles of reality, knowledge, or values, based on logical reasoning rather than empirical methods (Dictionary of American Heritage).

The study of the ultimate nature of existence, reality, knowledge and goodness, as discoverable by human reasoning (Penguin English Dictionary).

The rational investigation of questions about existence and knowledge and ethics (WordNet).

The search for knowledge and truth, especially about the nature of man and his behavior and beliefs (Kernerman English Multilingual Dictionary).

The rational and critical inquiry in the basic principles (Encarta Microsoft Encyclopedia).

The study of the most general and abstract features of the world, the foundations of human knowledge, and the evaluation of human conduct (The Pages of Philosophy).

If we look at the definitions, we can find the most basic principle of philosophy is questioned. The question of what is life? How should you live? What kind of things exist and what are their natures? What are the correct principles of reasoning? What are the principles of reality, knowledge or values?

Finding answers or solutions to questions or problems through the application of principles of reasoning is the purpose of philosophy. In short, seek knowledge and truth. Research does not necessarily find the truth. However, the process employed to find the truth is more important. History tells us that the wisdom of man (the body of knowledge and experience that develops in a specific society or period) has changed and is changing continuously. Humans seek wisdom (the ability to think and act using knowledge, experience, intelligence, common sense and intuition)

Blind beliefs are the biggest obstacles that stop our thinking process. Philosophers question these beliefs blindly or rather they question all beliefs. They are skeptical about everything. In fact, it is one of the philosophical methods (methodological doubt) employ to find the truth. Philosophizing begins with some simple doubt about accepted beliefs. They apply methodical doubt and knowledge to prove the functional, dysfunctional or destructive nature of an accepted and prevalent belief in a society. Wait a moment! We have a problem that needs to be dealt with first. When we say “knowledge”, it does not necessarily lead us to the truth of the conclusion we reach. Existing knowledge is not complete. Therefore, there is a possibility of fallacy of conclusion. A conclusion may be valid, but it need not be a truth. With the introduction of an additional premise or the elimination of an existing premise, the nature of the conclusion will undergo a change.

Fallacies

Other common obstacles to logical and critical thinking are a) Confirmation bias, b) Framing effects, c) Heuristics, and d) Common fallacies such as relevance fallacy, Red Herring fallacy, Strawman fallacy, Ad Hominem fallacy , fallacy. appeal (to authority), fallacy of composition, fallacy of division, fallacy, appeal to popularity, appeal to tradition, appeal to ignorance, appeal to the emotion, the question, the false dilemma, the decision point fallacy, the slippery slope fallacy. hasty generalizations, false analogies, and the fallacy of fallacy. And we can add the two formal fallacies a) affirming the consequent, b) denying the antecedent.

We humans make mistakes. It is often said that to err is human nature. After knowing the myriad of fallacies of logical arguments, we have developed certain methods or models to avoid such errors. Philosophical methods are our toolkit that, when employed, reduce our mistakes.

Apart from these obstacles, we have some other human limitations, such as the limitation of long-term and short-term memory capacity and the limitation of our sensory capacity. All these limitations are obstacles to our philosophy. Therefore, we make mistakes knowingly and unknowingly. However, we never stopped our effort to become the most beautiful species on earth.

On the other hand, machines, even if they are not the perfect species, can avoid certain human limitations while carrying out philosophy. If they are given two supporting propositions logically they can deduce a perfect conclusion. However, if they are given randomly selected propositions will they be able to choose the right propositions that logically support the conclusion? It depends on the algorithm we feed to the machine. But then, we are not perfect. We do not fully understand how the human brain works. The main purpose of using a machine for philosophy is to avoid errors. The machine could imitate human errors, a humiliating human characteristic that we fervently want to avoid.

One approach is to allow the machine to learn to think and make decisions for itself. In the process, the machine may be able to develop its own brain that can surpass the capacity and capability of the human brain. That could be a possibility. This approach is already being tested.

Human wisdom is the ability to think and act using knowledge, collective experience, understanding, common sense and intuition. Will the machine be able to achieve and surpass human wisdom?

The machine can be powered by the knowledge accumulated by humans. However, the challenge is how the machine will get the right knowledge for a right claim. The machine has no experience of human life. It really is a blessing in disguise. If we feed all our experiences to the machine, it will be a mere cocktail of beliefs and ideas that are different and mostly diagonally opposed to each other. The best thing is to feed the information as little as possible and leave the rest to the machine to have the first experience with humans. This means that the machine lives with human beings and interacts with humans in such a way that they develop knowledge of human behavior and hopefully other human characteristics such as emotional intelligence, common sense, etc.

Probably, philosophical methods that include the rules of reasoning to make right conclusions will be very useful to the machine. He can make decisions minus the logical fallacies we have made knowingly and unknowingly. Such a machine could really be immensely useful to humans, especially as a guide or guardian who can work without resorting to emotions and prejudices.

In addition to philosophical methods, the machine can also be fed with sensory superpowers without the human intelligence being limited. Humans may take longer to develop such extra integrated sensory powers. Such a machine would be a wonderful work of art.

Therefore, philosophical methods will transform the nature of machines rather than machines putting the radical transformation of philosophy. Machines help humans to draw right conclusions. Machines take the right propositions from the huge data and provide us with a valid conclusion which is a tedious and time consuming task of humans. Machines can work continuously without boredom unless they develop their human-like emotions. Hope, machines understand human emotions and at the same time have no emotions.

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