Smart machines have learned to recognise and translate the human voice, beat professionals in chess games and diagnose disease. Every week we learn about the new exploit of computer programs that already know how to make medical diagnoses, sing or even generate text. Should human beings be afraid of artificial intelligence? Let’s dissect this subject a little further.
What is artificial intelligence?
Artificial intelligence is a discipline that is engaged in modelling reasonable behaviours. However, it is challenging to define artificial intelligence completely. The problem of defining AI begins with defining intelligence in general. Can intelligence be created? What is intuition? How is knowledge represented in the nerve tissues of the human brain? No answer has yet been found for these questions, but they all helped to formulate the methodology behind modern artificial intelligence. The problem of defining AI is understandable. The field is quite young, and its range of issues are not clearly defined.
Neural networks and their future
Most experts associate the progress in the development of AI with the development of neural networks. A neural network is a model of the processes that occur in the human brain. It is to them that we owe the impressive results in speech recognition, creating images and translating text. Experts recognise neural networks as machine learning algorithms that show the best results.
Is it necessary to be afraid of AI?
Many, if not most professionals involved in the development of artificial intelligence admit that it will not make people irrelevant or redundant because it simply is not smart enough. It also lacks the autonomous opportunity to think.
Is it possible to transfer consciousness?
A new and promising direction in artificial intelligence is optogenetics. With the ability to interface the brain and the machine, you can change not only the device but also the nervous tissues themselves by creating artificial photoreceptors. However, for a successful transference of consciousness to a particular machine, such as a robot, it is necessary to solve several complex engineering problems which could take many decades.