With the increasing use of artificial intelligence tools in writing, research, and idea design, researchers are raising a troubling question: Do these tools help us to be creative, or do they gradually push us towards similar ideas and methods?
A report published in the journal Nature points to growing concerns that widespread reliance on generative artificial intelligence could lead to a homogenization of culture and way of thinking, especially when millions of people use the same models to accomplish the same tasks.
A computer science researcher says he often feels he has read new scientific papers before, as many works have become similar and lack the individual characteristics that distinguished each researcher''s style.
Part of the problem is that AI models learn from huge amounts of existing texts and works and then produce answers based on the most common patterns in them.
Therefore, her suggestions may tend towards safe and familiar solutions, and avoid rare or unexpected ideas.
These tools may help an individual produce a story or idea that seems more creative than their first attempt, but when they offer similar suggestions to a large number of users, they may make the output of the entire group less diverse.
This does not necessarily mean that artificial intelligence eliminates creativity. Some studies have found that it helps users generate new ideas, improve stories, and solve problems, especially those who lack extensive experience in the required task.
Experts advise that a person should start by forming their own ideas before asking for help, and ask the system to suggest conflicting and unfamiliar directions, then compare them and rephrase them with their own voice and experience