Artificial intelligence (AI) effects on research processes

Artificial intelligence (AI) is a potent instrument for increasing research productivity, but it
functions best when combined with human knowledge.
Even though AI can automate some steps in the research process, human researchers are still
essential for activities requiring creativity, ethical concerns, critical thinking, and the capacity to
traverse complex and context-dependent circumstances.

Here are a few research process’s steps that can be automated by AI:

Data Collection: AI systems are capable of collecting and processing vast volumes of data from
a variety of sources, such as databases, webpages, and documents, in an effective manner.

Data analysis: Artificial intelligence (AI) tools facilitate faster conclusion-making by doing
statistical analysis, spotting trends, and producing insights from complicated datasets.

Text Summarization: Artificial intelligence (AI) can be used to automatically summarize vast
amounts of text, which facilitates the evaluation and extraction of important information by
researchers. AI algorithms are capable of analyzing photos and movies to extract pertinent data,
identify objects, and even spot patterns and trends.

Natural Language Processing (NLP): AI systems such as mine can produce and comprehend
writing that resembles that of humans, which facilitates the processing and interpretation of
textual data.

Predictive Modelling: By using previous data to build predictive models, artificial intelligence
(AI) can assist academics in projecting future patterns or results.
Automation of Repetitive operations: By automating repetitive operations like formatting and
data entry, researchers can concentrate on more intricate and imaginative aspects of their study.