The Role of AI in Data Analysis and Peer Review

As mentioned earlier, AI-powered tools can help students in the early stages of academic research, namely research planning and developing study design. However, these digital platforms can bring even more benefits.

Data analysis

Imagine a traditional data analysis: tons of information, calculations, pattern identification – well, that’s a monotonous and time-consuming process, so why not streamline some of its aspects? With the help of AI, researchers analyze both quantitative and qualitative data much quicker. The ability to analyze large amounts of unstructured information makes AI-powered tools invaluable for various kinds of research, from brain care to maritime research. Without a doubt, human researchers are irreplaceable in data analysis, but such software can enrich this process, speed it up, and maintain its high accuracy.

Peer-review assistance

Have you ever doubted the quality of your academic writing? Good thing AI-powered tools are here to help. AI assistants can promote peer review in educational settings. These tools provide other student-review assistance in many research fields, including, but not limited to, biomedicine, computer science, social, and natural sciences. Nonetheless, the peer-reviewing process can’t be fully automatized because AI tools still make quite a lot of mistakes.

A threat or an opportunity: Future of AI in academic writing and research

On the one hand, AI-powered tools present promising opportunities: They can save time and optimize various aspects of research. On the other hand, an ovеrrеliancе on AI leads to worries about thе loss of human judgment and critical thinking. Taking all of this into account, we believe that artificial intelligence research systems, even those using machine learning algorithms, are unlikely to replace human researchers in the near future. At the moment, AI tools are only people’s assistants.