Abstract
Artificial intelligence (AI) is becoming an important tool in scientific research, helping researchers analyze large datasets, identify patterns, develop models, and automate repetitive tasks. Its applications range from biology and medicine to astronomy, materials science, and environmental monitoring. However, AI-generated results require careful validation, transparent methods, and human expertise. This article reviews how AI can support scientific discovery, considers its limitations, and argues that responsible use depends on high-quality data, reproducibility, and collaboration between technical specialists and domain experts.
Keywords
- artificial intelligence; scientific research; data analysis; reproducibility; research ethics
Published in Folio Science · FOLIO Science