2026-06-10T07:47:16.995Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:10888 2024-12-20T22:49:23Z 1

IMPACT OF ARTIFICIAL INTELLIGENCE ON JOBS FROM 2024 TO 2030 2024 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/10888 https://eee-conference.com/archive/ V. Radić N. Radić M. Marković Blagojević Artificial intelligence is one of the few areas of science about which almost everyone - both experts and non-experts - has some kind of opinion. Some believe that it brings great benefits, others believe that it threatens dangers, and still others believe in both. On the other hand, it is unusual that there is no general agreement on what artificial intelligence is and what it does. Intelligence usually means the ability to acquire, remember and process certain knowledge. Although there is also an understanding that the central goal of artificial intelligence is to imitate human intelligence, most subfields of artificial intelligence have a different goal. It is usually solving problems where a combinatorial explosion occurs, where the number of possibilities is so large that it cannot be systematically examined in a reasonable amount of time. Most of the tasks of artificial intelligence can be described in terms of algorithms, search, deductive and inductive reasoning, and other precise mathematical concepts. Only a small fraction of researchers deal with methods that aim to achieve general human-style reasoning. Artificial intelligence consists of several subfields, apparently loosely connected in their content. The question then is what they have in common, except that they mostly all deal with problems in which a multitude of possibilities arise that cannot be examined by a systematic search. There are multiple approaches that unify all subfields of artificial intelligence into a single, unified framework. One such approach is based on agents having some actions at their disposal. Another approach gives centrality to the problem-solving process. The solution phases are usually: modeling, i.e. describing the given problem in strict, mathematical terms; solving a problem described in mathematical terms; interpretation and analysis of solutions. conferenceObject 889 897 10.5937/EEE24081R Conference Proceedings