The emergence of the science of artificial intelligence
Artificial intelligence (AI) is intelligence displayed by machines, as opposed to natural intelligence displayed by humans and animals. The study of artificial intelligence began in the 1950s, when systems could not perform tasks as well as humans. Artificial intelligence is the overall goal of building a system that exhibits intelligence, consciousness and is capable of self-learning. The most famous types of artificial intelligence known as machine learning, which is a kind of artificial intelligence, and deep learning.
The development of artificial intelligence is a controversial area as scientists and policymakers grapple with the ethical and legal implications of creating systems that exhibit human-level intelligence. Some argue that the best way to promote artificial intelligence is through education to prevent it from bias against people and make it accessible to people from all socioeconomic backgrounds. Others fear that increased regulation and concerns over national security will hamper the development of artificial intelligence.
Artificial intelligence (AI) originated in the 1950s, when scientists believed that machines could not exhibit intelligent behavior that the human brain could not reproduce. In 1962, a team at Carnegie Mellon University led by Terry Winograd began work on universal computing intelligence. In 1963, as part of the MAC project, Carnegie Mellon created a program called Eliza, which became the first machine to demonstrate the ability to reason and make decisions like humans.
In 1964, IBM researcher JCR Licklider began research in the computer science and cognitive sciences with the goal of developing intelligent machines. In 1965, Licklider coined the term «artificial intelligence» to describe the entire spectrum of cognitive technologies that he studied.
Scientist Marvin Minsky introduced the concept of artificial intelligence in the book «Society of Mind» and foresaw that the field of development of science goes through three stages: personal, interactive and practical. Personal AI, which he considered the most promising, would lead to the emergence of human-level intelligence, an intelligent entity capable of realizing its own goals and motives. Interactive AI will develop the ability to interact with the outside world. Practical AI, which he believed was most likely, would develop the ability to perform practical tasks.
The term artificial intelligence began to appear in the late 1960s when scientists began to make strides in this area. Some scientists believed that in future, computers would take on tasks that were too complex for the human brain, thus achieving intelligence. In 1965, scientists were fascinated by an artificial intelligence problem known as the Stanford problem, in which a computer was asked to find the shortest path on a map between two cities in a given time. Despite many successful attempts, the computer was able to complete the task only 63% of the time. In 1966, Harvard professor John McCarthy stated that this problem «is as close as we can in computers to the problem of brain analysis, at least on a theoretical basis».
In 1966, researchers at IBM, Dartmouth College, the University of Wisconsin-Madison, and Carnegie Mellon completed work on the Whirlwind I, the world’s first computer designed specifically for artificial intelligence research. In the Human Genome Project, computers were used to predict the genetic makeup of a person. In 1968, researchers at Moore’s School of Electrical Engineering published an algorithm for artificial neural networks that could potentially be much more powerful than an electronic brain.
