Abstract
This presentation explores the applications of Artificial Intelligence (AI) in research, emphasizing AI's capabilities in enhancing efficiency, accuracy, and innovation. It delves into the various ways AI supports academic work, such as literature review, data analysis, and hypothesis generation, highlighting its impact on methodologies and ethical considerations. The presentation also touches on AI's limitations, especially in terms of its understanding and adaptability, while stressing the importance of human oversight. Ethical challenges, such as bias and data security, are discussed, along with the potential risks of 'AI hallucinations.' Finally, the presentation outlines the role of AI in writing and publishing scientific articles, offering a comprehensive guide to AI tools that aid researchers at different stages of their work.