According to a new study, open-source encyclopedias like Wikipedia could become more reliable if artificial intelligence is used.

As reported by Scientific American earlier this month, AI tools can help police some of the inaccurate or incomplete references that plague online encyclopedias such as Wikipedia, improving quality and reliability, according to a study published in Nature Machine Intelligence.

Using an artificial intelligence system called “SIDE,” researchers analysed Wikipedia references to identify missing and broken links, or to determine if the references supported the article’s claims. The system suggested better alternative references that would be more useful for references that didn’t meet the standard.

Using AI in encyclopedias could have some advantages, said Christopher Alexander, chief analytics officer at Pioneer Development Group.

Besides looking at multiple interpretations and verifying facts, AI could continuously monitor research and reporting around an entry,” Alexander explained. “AI also works 24 hours a day, 7 days a week and will not tire.” It is impossible for humans to keep up with AI’s productivity.”

However, Alexander noted that there are also pitfalls, including proprietary algorithms that are difficult to understand.

“The second disadvantage lies in the current state of AI platforms,” Alexander said. “The AI wants to make you happy more than anything else at the moment.