The growing use of artificial intelligence in the 21st century is influencing the following: a societal and economic shift towards increased automation, data-driven decision-making, and the integration of AI systems into various economic sectors and areas of life, such as impacting job markets, healthcare, government, industry, and education. This raises questions about the long-term effects, ethical implications, and risks of AI, prompting discussions about regulatory policies to ensure the safety and benefits of the technology. The various subfields of AI research are centered on particular goals and the use of particular tools. In this concern the traditional goals of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception, and support for robotics. General intelligence - the ability to complete any task performable by a human on an at least equal level - is among the field's long-term goals.