Artificial Intelligence (AI) – the ability of intelligent machines to perform creative functions that are traditionally considered the prerogative of man. Also, this term refers to the science and technology of creating intelligent machines. For the first time this definition was given by American computer scientist John McCarthy in 1956.
The basic properties of AI are language understanding, learning and the ability to think and, importantly, act.
What does it provide
AI is a complex of related technologies and processes that develop qualitatively and rapidly, for example:
- natural language processing
- machine learning
- expert systems
- virtual agents (chat – bots and virtual helpers)
- recommendation systems.
Terminology standard “Artificial intelligence. Concepts and terminology ”is fundamental for the whole family of international normative and technical documents in the field of artificial intelligence. In addition to terms and definitions, this document contains conceptual approaches and principles for constructing systems with AI elements, a description of the relationship of AI with other end-to-end technologies, as well as basic principles and framework approaches to the regulatory and technical regulation of artificial intelligence.
Influence of artificial intelligence
Risk to the development of human civilization
The development of artificial intelligence can be both the most positive and the most terrible factor for humanity. People can create too powerful artificial intelligence that will be extremely good at achieving their goals. And if these goals do not coincide with human goals, then people will have problems.
Robots replace people
Automation will lead to a drop in the number of vacancies. In competitive industries, the activity of employers will grow, while the average monthly growth rate of the number of vacancies will be about 5%. In this case, the unemployment rate will rise.
AI in production
- At the design level: improving the efficiency of new product development, automated vendor evaluation and analysis of spare parts and parts requirements.
- At the production level: improving the process of performing tasks, automating assembly lines, reducing the number of errors, reducing the time of delivery of raw materials.
- At the level of promotion: forecasting the volume of services and support services provided, pricing management.
- At the level of service provision: improved planning of vehicle fleet routes, demand for fleet resources, improvement of the quality of service engineers training.