How can artificial intelligence choose employees? Many studies deal with what a job applicant should do first, what he should say, and many expected questions and common answers…
his clothes, his personality, and many more. But soon, all of this will no longer be useless and useless, as it is expected that the use of artificial intelligence programs will prevail, which will take over the tasks of hiring or firing employees in companies and institutions.
An increasing number of employers and company bosses have turned to artificial intelligence to make hiring and firing decisions, and to determine how people feel about their bosses, according to the American Wall Street Journal. Measuring optimism and anger Artificial intelligence program is one of the most types of artificial intelligence programs focused on the workplace.
Xander, the most common, can determine if an employee is feeling optimistic or angry, for example. Xander was developed by Tech Ultimate Software, for the SPS metallurgical group of companies, in Manhattan, Kansas, which used it to effectively analyze and categorize employee responses to a confidential survey. But the results were not negative, but had a positive return, as SPS was able to use the results of artificial intelligence analysis from the answers to the questionnaire to improve its health care plan,
after workers indicated that the current offers were confusing and bad. Xander analyzes answers to general questions and identifies employee attitudes or opinions, based on dialect and other multiple elements and data. growing demand It is noteworthy that over the past years, many companies in the past used technology to track employee behavior in order to increase productivity, but in recent times, artificial intelligence has become an increasingly useful tool for measuring employee feelings, as well as in hiring, firing and disbursing compensation.
Studies indicate that more than 40% of employers worldwide use artificial intelligence programs of some kind. At the same time, the entry of artificial intelligence into the field of human resources has alarmed some of those responsible for regulating recruitment, dismissal and related judicial matters. labor issues However, the concern of experts and labor advocates is that AI may contain biases that can lead to discrimination in the workplace. And employees may simply not want to be tracked by AI.
In addition, artificial intelligence still faces some controversial issues, such as how to recognize all human emotions, such as depression and sarcasm. Some algorithms have also been shown on numerous occasions to have been marred by racial biases. A recruitment algorithm, for example, can detect high absenteeism among people with disabilities, and erroneously recommend against hiring them.
Equal opportunity crisis So it came as no surprise that in 2016 the Equal Employment Opportunity Commission determined that technology could create new barriers to fair opportunity. While artificial intelligence is nowhere near as intelligent as a human, the technology has continued to advance in recent years. For example, Google-owned research firm MindDeep has built a new AI system that learns to understand the “ideas” of other AI programs.
DeepMind can predict what other AI programs will do, and it can even understand if they have “false beliefs” about the world around them. theory of mind A report by research firm Deep Mind said his robot can now pass a basic psychological test that most children can’t develop the skills needed to pass until around the age of four.
Conducting this test called “theory of mind” could lead to the use of robots that can think more like humans. Most humans regularly think about other people’s beliefs and intentions, an abstract skill shared by part of the animal kingdom, including chimpanzees and orangutans. Theory of mind is the key to complex human social interactions, and it is a must for any artificial intelligence that hopes to imitate a human being.
It is reported that artificial intelligence may replace humans in many works, even at the level of mental thinking