The idea of intelligent robots is not new, but we only began to understand it in the 1950s. Greek mythology featured robots and artificial entities, and Aristotle applied deductive reasoning and the syllogism to the study of intelligence. Today, artificial intelligence is a relatively recent field, dating only about a century. The first papers on the topic were published in 1943 by Warren McCulloch and Walter Pitts. Their work suggested a model of artificial neural networks.
This concept combines two concepts that are related to the development of AI: psychology and biology. Empathy is the idea of understanding the emotions of another organism and predicting its behavior. In other words, an AI system that understands its own emotions and is able to predict human behavior will be self-aware. Eventually, the concept of mind will be implemented in AI systems. However, there is a major barrier to this goal.
AI has many advantages for companies. For example, it can predict consumer demand and assign projects based on their strengths. It can also collect feedback about a company’s working environment, predicting employees on the verge of quitting. It can analyze thousands of CVs and make recommendations based on their competency level. And, because it is free of human error, AI can reduce hiring cycles. Therefore, it is important for companies to understand when AI can make a difference to their business.
While AI is still a relatively new field, the technology that powers it has been around for a while. The term itself was coined by Marvin Minsky in 1956. In the same year, the first autonomous car was developed. A self-driving car uses AI. The idea behind AI is simple: machines can understand the world around them and act accordingly. A human can’t understand the brain and the mind, but an artificial one can.