The world is experiencing rapid scientific and technological transformation, making artificial intelligence an essential part of the future of science. AI applications have expanded from technical fields into scientific research, education, healthcare, environmental studies, and engineering. Intelligent algorithms help researchers analyze large amounts of data within relatively short periods. They also enable researchers to identify relationships and patterns that may be difficult to detect using traditional methods alone. In scientific laboratories, AI can assist in analyzing results and predicting various phenomena. It can also accelerate the search for innovative solutions to complex scientific problems. Artificial intelligence is opening new opportunities in medical, biological, chemical, and physical sciences. In environmental research, intelligent models can be used to analyze environmental changes and study sources of pollution. In physics and chemistry, intelligent computing techniques can support the modeling and simulation of complex systems. AI tools have also become increasingly integrated into the modern scientific research environment. However, the development of these technologies creates new responsibilities for researchers and scientific institutions. These include ensuring data quality, maintaining the accuracy of results, and respecting research ethics.